From c798a1f4d588acdc775e4346650c9e1ab9493ee1 Mon Sep 17 00:00:00 2001 From: Robin De Schepper Date: Tue, 5 Nov 2019 13:30:35 +0100 Subject: [PATCH] Public release --- CMakeLists.txt | 336 + README.md | 81 +- Sgritta2017.h | 706 + Tests/Check_Models.py | 35 + Tests/Check_MultiThreading.py | 61 + Tests/Compare_with_Ground_Truth1.py | 125 + Tests/Compare_with_Ground_Truth2.py | 34 + Tests/Compare_with_Ground_Truth3.py | 34 + Tests/GR_65600.dat | 65600 ++++++++++++++++++++++++++ Tests/Learning_Performance_Test.py | 171 + Tests/Learning_Performance_Test2.py | 154 + Tests/Learning_Performance_iSTDP.py | 99 + Tests/MFDCN.dat | 400 + Tests/MF_100Trial_EBCC.dat | 300 + Tests/Remove_Empty.py | 21 + Tests/auxiliary_functions.py | 12 + Tests/do_tests.sh | 126 + Tests/do_tests_NOMPI.sh | 126 + Tests/iSTDP.dat | 3000 ++ cerebmodule.cpp | 157 + cerebmodule.h | 74 + eglif_cond_alpha_multisyn.cpp | 973 + eglif_cond_alpha_multisyn.h | 1652 + iSTDP.h | 375 + mynames.cpp | 47 + mynames.h | 64 + sli/cerebmodule-init.sli | 28 + stdp_connection_alpha.cpp | 101 + stdp_connection_alpha.h | 446 + stdp_connection_cosexp.cpp | 101 + stdp_connection_cosexp.h | 471 + stdp_connection_sinexp.cpp | 101 + stdp_connection_sinexp.h | 446 + volume_transmitter_alberto.cpp | 146 + volume_transmitter_alberto.h | 231 + 35 files changed, 76833 insertions(+), 1 deletion(-) create mode 100644 CMakeLists.txt create mode 100644 Sgritta2017.h create mode 100644 Tests/Check_Models.py create mode 100644 Tests/Check_MultiThreading.py create mode 100644 Tests/Compare_with_Ground_Truth1.py create mode 100644 Tests/Compare_with_Ground_Truth2.py create mode 100644 Tests/Compare_with_Ground_Truth3.py create mode 100644 Tests/GR_65600.dat create mode 100644 Tests/Learning_Performance_Test.py create mode 100644 Tests/Learning_Performance_Test2.py create mode 100644 Tests/Learning_Performance_iSTDP.py create mode 100644 Tests/MFDCN.dat create mode 100644 Tests/MF_100Trial_EBCC.dat create mode 100644 Tests/Remove_Empty.py create mode 100644 Tests/auxiliary_functions.py create mode 100755 Tests/do_tests.sh create mode 100755 Tests/do_tests_NOMPI.sh create mode 100644 Tests/iSTDP.dat create mode 100644 cerebmodule.cpp create mode 100644 cerebmodule.h create mode 100644 eglif_cond_alpha_multisyn.cpp create mode 100644 eglif_cond_alpha_multisyn.h create mode 100644 iSTDP.h create mode 100644 mynames.cpp create mode 100644 mynames.h create mode 100644 sli/cerebmodule-init.sli create mode 100644 stdp_connection_alpha.cpp create mode 100644 stdp_connection_alpha.h create mode 100644 stdp_connection_cosexp.cpp create mode 100644 stdp_connection_cosexp.h create mode 100644 stdp_connection_sinexp.cpp create mode 100644 stdp_connection_sinexp.h create mode 100644 volume_transmitter_alberto.cpp create mode 100644 volume_transmitter_alberto.h diff --git a/CMakeLists.txt b/CMakeLists.txt new file mode 100644 index 0000000..9577a09 --- /dev/null +++ b/CMakeLists.txt @@ -0,0 +1,336 @@ +# Cereb/CMakeLists.txt +# +# This file is part of NEST. +# +# Copyright (C) 2004 The NEST Initiative +# +# NEST is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 2 of the License, or +# (at your option) any later version. +# +# NEST is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. +# +# You should have received a copy of the GNU General Public License +# along with NEST. If not, see . + +cmake_minimum_required( VERSION 2.8.12 ) + +# This CMakeLists.txt is configured to build your external module for NEST. For +# illustrative reasons this module is called 'my' (change SHORT_NAME to your +# preferred module name). NEST requires you to extend the 'SLIModule' and provide a module header +# (see MODULE_HEADER). The subsequent instructions +# +# The configuration requires a compiled and installed NEST; if `nest-config` is +# not in the PATH, please specify the absolute path with `-Dwith-nest=...`. +# +# For more informations on how to extend and use your module see: +# https://nest.github.io/nest-simulator/extension_modules + +# 1) Name your module here, i.e. add later with -Dexternal-modules=my: +set( SHORT_NAME cereb ) + +# the complete module name is here: +set( MODULE_NAME ${SHORT_NAME}module ) + +# 2) Add all your sources here +set( MODULE_SOURCES + cerebmodule.h cerebmodule.cpp + volume_transmitter_alberto.h volume_transmitter_alberto.cpp + eglif_cond_alpha_multisyn.h eglif_cond_alpha_multisyn.cpp + stdp_connection_cosexp.h stdp_connection_cosexp.cpp + stdp_connection_sinexp.h stdp_connection_sinexp.cpp + stdp_connection_alpha.h stdp_connection_alpha.cpp + iSTDP.h + Sgritta2017.h + mynames.h mynames.cpp + ) + +# 3) We require a header name like this: +set( MODULE_HEADER ${MODULE_NAME}.h ) +# containing the class description of the class extending the SLIModule + +# 4) Specify your module version +set( MODULE_VERSION_MAJOR 1 ) +set( MODULE_VERSION_MINOR 0 ) +set( MODULE_VERSION "${MODULE_VERSION_MAJOR}.${MODULE_VERSION_MINOR}" ) + +# 5) Leave the rest as is. All files in `sli` will be installed to +# `share/nest/sli/`, so that NEST will find the during initialization. + +# Leave the call to "project(...)" for after the compiler is determined. + +# Set the `nest-config` executable to use during configuration. +set( with-nest OFF CACHE STRING "Specify the `nest-config` executable." ) + +# If it is not set, look for a `nest-config` in the PATH. +if ( NOT with-nest ) + # try find the program ourselves + find_program( NEST_CONFIG + NAMES nest-config + ) + if ( NEST_CONFIG STREQUAL "NEST_CONFIG-NOTFOUND" ) + message( FATAL_ERROR "Cannot find the program `nest-config`. Specify via -Dwith-nest=... ." ) + endif () +else () + set( NEST_CONFIG ${with-nest} ) +endif () + +# Use `nest-config` to get the compile and installation options used with the +# NEST installation. + +# Get the compiler that was used for NEST. +execute_process( + COMMAND ${NEST_CONFIG} --compiler + RESULT_VARIABLE RES_VAR + OUTPUT_VARIABLE NEST_COMPILER + OUTPUT_STRIP_TRAILING_WHITESPACE +) + +# One check on first execution, if `nest-config` is working. +if ( NOT RES_VAR EQUAL 0 ) + message( FATAL_ERROR "Cannot run `${NEST_CONFIG}`. Please specify correct `nest-config` via -Dwith-nest=... " ) +endif () + +# Setting the compiler has to happen before the call to "project(...)" function. +set( CMAKE_CXX_COMPILER "${NEST_COMPILER}" ) + +project( ${MODULE_NAME} CXX ) + +# Get the install prefix. +execute_process( + COMMAND ${NEST_CONFIG} --prefix + RESULT_VARIABLE RES_VAR + OUTPUT_VARIABLE NEST_INSTALL_PREFIX + OUTPUT_STRIP_TRAILING_WHITESPACE +) + +# Get the CXXFLAGS. +execute_process( + COMMAND ${NEST_CONFIG} --cflags + RESULT_VARIABLE RES_VAR + OUTPUT_VARIABLE NEST_CXXFLAGS + OUTPUT_STRIP_TRAILING_WHITESPACE +) + +# Get the Includes. +execute_process( + COMMAND ${NEST_CONFIG} --includes + RESULT_VARIABLE RES_VAR + OUTPUT_VARIABLE NEST_INCLUDES + OUTPUT_STRIP_TRAILING_WHITESPACE +) +if ( NEST_INCLUDES ) + # make a cmake list + string( REPLACE " " ";" NEST_INCLUDES_LIST "${NEST_INCLUDES}" ) + foreach ( inc_complete ${NEST_INCLUDES_LIST} ) + # if it is actually a -Iincludedir + if ( "${inc_complete}" MATCHES "^-I.*" ) + # get the directory + string( REGEX REPLACE "^-I(.*)" "\\1" inc "${inc_complete}" ) + # and check whether it is a directory + if ( IS_DIRECTORY "${inc}" ) + include_directories( "${inc}" ) + endif () + endif () + endforeach () +endif () + +# Get, if NEST is build as a (mostly) static application. If yes, also only build +# static library. +execute_process( + COMMAND ${NEST_CONFIG} --static-libraries + RESULT_VARIABLE RES_VAR + OUTPUT_VARIABLE NEST_STATIC_LIB + OUTPUT_STRIP_TRAILING_WHITESPACE +) +if ( NEST_STATIC_LIB ) + set( BUILD_SHARED_LIBS OFF ) +else () + set( BUILD_SHARED_LIBS ON ) +endif () + +# Get all linked libraries. +execute_process( + COMMAND ${NEST_CONFIG} --libs + RESULT_VARIABLE RES_VAR + OUTPUT_VARIABLE NEST_LIBS + OUTPUT_STRIP_TRAILING_WHITESPACE +) + +# Get the data install dir. +execute_process( + COMMAND ${NEST_CONFIG} --datadir + RESULT_VARIABLE RES_VAR + OUTPUT_VARIABLE NEST_INSTALL_DATADIR + OUTPUT_STRIP_TRAILING_WHITESPACE +) + +# Get the documentation install dir. +execute_process( + COMMAND ${NEST_CONFIG} --docdir + RESULT_VARIABLE RES_VAR + OUTPUT_VARIABLE NEST_INSTALL_DOCDIR + OUTPUT_STRIP_TRAILING_WHITESPACE +) + +# Get the library install dir. +execute_process( + COMMAND ${NEST_CONFIG} --libdir + RESULT_VARIABLE RES_VAR + OUTPUT_VARIABLE NEST_LIBDIR + OUTPUT_STRIP_TRAILING_WHITESPACE +) + +# on OS X +set( CMAKE_MACOSX_RPATH ON ) + +# Use the NEST_INSTALL_* variables as CMAKE_INSTALL_*, if not set explicitly. +if ( "${CMAKE_INSTALL_PREFIX}" STREQUAL "/usr/local" ) + set( CMAKE_INSTALL_PREFIX "${NEST_INSTALL_PREFIX}" CACHE STRING "Install path prefix, prepended onto install directories." FORCE ) + set( CMAKE_INSTALL_LIBDIR "${NEST_LIBDIR}/nest" CACHE STRING "object code libraries (lib/nest or lib64/nest or lib//nest on Debian)" FORCE ) + set( CMAKE_INSTALL_DOCDIR "${NEST_INSTALL_DOCDIR}" CACHE STRING "documentation root (DATAROOTDIR/doc/nest)" FORCE ) + set( CMAKE_INSTALL_DATADIR "${NEST_INSTALL_DATADIR}" CACHE STRING "read-only architecture-independent data (DATAROOTDIR/nest)" FORCE ) +endif () + +include( GNUInstallDirs ) + +# CPack stuff. Required for target `dist`. +set( CPACK_GENERATOR TGZ ) +set( CPACK_SOURCE_GENERATOR TGZ ) + +set( CPACK_PACKAGE_DESCRIPTION_SUMMARY "NEST Module ${MODULE_NAME}" ) +set( CPACK_PACKAGE_VENDOR "NEST Initiative (http://www.nest-initiative.org/)" ) + +set( CPACK_PACKAGE_VERSION_MAJOR ${MODULE_VERSION_MAJOR} ) +set( CPACK_PACKAGE_VERSION_MINOR ${MODULE_VERSION_MINOR} ) +set( CPACK_PACKAGE_VERSION ${MODULE_VERSION} ) + +set( CPACK_SOURCE_IGNORE_FILES + "\\\\.gitignore" + "\\\\.git/" + "\\\\.travis\\\\.yml" + + # if we have in source builds + "/build/" + "/_CPack_Packages/" + "CMakeFiles/" + "cmake_install\\\\.cmake" + "Makefile.*" + "CMakeCache\\\\.txt" + "CPackConfig\\\\.cmake" + "CPackSourceConfig\\\\.cmake" + ) +set( CPACK_SOURCE_PACKAGE_FILE_NAME ${MODULE_NAME} ) + +set( CPACK_PACKAGE_INSTALL_DIRECTORY "${MODULE_NAME} ${MODULE_VERSION}" ) +include( CPack ) + +# add make dist target +add_custom_target( dist + COMMAND ${CMAKE_MAKE_PROGRAM} package_source + # not sure about this... seems, that it will be removed before dist... + # DEPENDS doc + COMMENT "Creating a source distribution from ${MODULE_NAME}..." + ) + + +if ( BUILD_SHARED_LIBS ) + # When building shared libraries, also create a module for loading at runtime + # with the `Install` command. + add_library( ${MODULE_NAME}_module MODULE ${MODULE_SOURCES} ) + set_target_properties( ${MODULE_NAME}_module + PROPERTIES + COMPILE_FLAGS "${NEST_CXXFLAGS} -DLTX_MODULE" + LINK_FLAGS "${NEST_LIBS}" + PREFIX "" + OUTPUT_NAME ${MODULE_NAME} ) + install( TARGETS ${MODULE_NAME}_module + DESTINATION ${CMAKE_INSTALL_LIBDIR} + ) +endif () + +# Build dynamic/static library for standard linking from NEST. +add_library( ${MODULE_NAME}_lib ${MODULE_SOURCES} ) +if ( BUILD_SHARED_LIBS ) + # Dynamic libraries are initiated by a `global` variable of the `SLIModule`, + # which is included, when the flag `LINKED_MODULE` is set. + target_compile_definitions( ${MODULE_NAME}_lib PRIVATE -DLINKED_MODULE ) +endif () +set_target_properties( ${MODULE_NAME}_lib + PROPERTIES + COMPILE_FLAGS "${NEST_CXXFLAGS}" + LINK_FLAGS "${NEST_LIBS}" + OUTPUT_NAME ${MODULE_NAME} ) + +# Install library, header and sli init files. +install( TARGETS ${MODULE_NAME}_lib DESTINATION ${CMAKE_INSTALL_LIBDIR} ) +install( FILES ${MODULE_HEADER} DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/${MODULE_NAME} ) +install( DIRECTORY sli DESTINATION ${CMAKE_INSTALL_DATADIR} ) + +# Install help. +if ( NOT CMAKE_CROSSCOMPILING ) + add_custom_target( generate_help ALL ) + # Extract help from all source files in the source code, put them in + # doc/help and generate a local help index in the build directory containing + # links to the help files. + add_custom_command( TARGET generate_help POST_BUILD + COMMAND python -B generate_help.py "${PROJECT_SOURCE_DIR}" "${PROJECT_BINARY_DIR}" + COMMAND python -B generate_helpindex.py "${PROJECT_BINARY_DIR}/doc" + WORKING_DIRECTORY "${NEST_INSTALL_PREFIX}/${NEST_INSTALL_DATADIR}/help_generator" + COMMENT "Extracting help information; this may take a litte while." + ) + # Copy the local doc/help directory to the global installation + # directory for documentation. + install( DIRECTORY "${CMAKE_CURRENT_BINARY_DIR}/doc/help" + DESTINATION "${CMAKE_INSTALL_PREFIX}/${CMAKE_INSTALL_DOCDIR}" + ) + # Update the global help index to contain all help files that are + # located in the global installation directory for documentation. + install( CODE + "execute_process( + COMMAND python -B generate_helpindex.py \"${CMAKE_INSTALL_PREFIX}/${CMAKE_INSTALL_DOCDIR}\" + WORKING_DIRECTORY \"${CMAKE_INSTALL_PREFIX}/${NEST_INSTALL_DATADIR}/help_generator\" + )" + ) +endif () + + +message( "" ) +message( "-------------------------------------------------------" ) +message( "${MODULE_NAME} Configuration Summary" ) +message( "-------------------------------------------------------" ) +message( "" ) +message( "C++ compiler : ${CMAKE_CXX_COMPILER}" ) +message( "Build static libs : ${NEST_STATIC_LIB}" ) +message( "C++ compiler flags : ${CMAKE_CXX_FLAGS}" ) +message( "NEST compiler flags : ${NEST_CXXFLAGS}" ) +message( "NEST include dirs : ${NEST_INCLUDES}" ) +message( "NEST libraries flags : ${NEST_LIBS}" ) +message( "" ) +message( "-------------------------------------------------------" ) +message( "" ) +message( "You can now build and install '${MODULE_NAME}' using" ) +message( " make" ) +message( " make install" ) +message( "" ) +message( "The library file lib${MODULE_NAME}.so will be installed to" ) +message( " ${CMAKE_INSTALL_FULL_LIBDIR}" ) +message( "Help files will be installed to" ) +message( " ${CMAKE_INSTALL_PREFIX}/${CMAKE_INSTALL_DOCDIR}" ) +message( "" ) +message( "The module can be loaded into NEST using" ) +message( " (${MODULE_NAME}) Install (in SLI)" ) +message( " nest.Install('${MODULE_NAME}') (in PyNEST)" ) +message( "" ) + +if( NOT "${CMAKE_INSTALL_PREFIX}" EQUAL "${NEST_INSTALL_PREFIX}" ) + message( "The module will be installed into a non-default location!" ) + message( "Make sure to set the environment variables:" ) + message( " export NEST_MODULE_PATH=${CMAKE_INSTALL_FULL_LIBDIR}:$NEST_MODULE_PATH" ) + message( " export SLI_PATH=${CMAKE_INSTALL_FULL_DATADIR}/sli:$SLI_PATH" ) + message( "" ) +endif () diff --git a/README.md b/README.md index c732061..ef0fd82 100644 --- a/README.md +++ b/README.md @@ -1 +1,80 @@ -# CerebNEST \ No newline at end of file +# cereb-nest + +Tested with: + +*branch master*: Ubuntu 18.04 and Red Hat Enterprise Linux Server 7.7 (Maipo), Python 3.7.3 and NEST Release 2.18.0 + + +### Installation instructions + +0. Install NEST following the instructions provided here (http://www.nest-simulator.org/) + +1. Export an Environment Variable containing the installation (build) directory of NEST. E.g.: +``` +export NEST_INSTALL_DIR=$HOME/workspace/nest-simulator/b +``` +2. Clone this GitHub Repository in a directory outside NEST build source and build directories. E.g.: +``` +cd $HOME +git clone https://github.com/dbbs-lab/cereb-nest/ +``` +3. Move to cereb-nest directory and create a new folder where you will build the extension module +``` +cd $HOME/workspace/cereb-nest +mkdir b +cd b +``` +4. Run the following CMake command (Tested with CMake 3.2.2) +``` +cmake -Dwith-nest=${NEST_INSTALL_DIR}/bin/nest-config .. +``` + +The resulting output should be something similar to: +> [...] +>------------------------------------------------------- +> +>You can now build and install 'cerebmodule' using +> make +> make install +> +>The library file libcerebmodule.so will be installed to +> /home/alberto/workspace/nest-simulator/b/lib/nest +>Help files will be installed to +> /home/alberto/workspace/nest-simulator/b/share/doc/nest +> +>The module can be loaded into NEST using +> (cerebmodule) Install (in SLI) +> nest.Install('cerebmodule') (in PyNEST) +> +>The module will be installed into a non-default location! +>Make sure to set the environment variables: +> export NEST_MODULE_PATH=/home/alberto/workspace/nest-simulator/b/lib/nest:$NEST_MODULE_PATH +> export SLI_PATH=/home/alberto/workspace/nest-simulator/b/share/nest/sli:$SLI_PATH +> [...] + +5. Execute the last two lines, generated by the CMake command. +``` +export NEST_MODULE_PATH=/home/alberto/workspace/nest-simulator/b/lib/nest:$NEST_MODULE_PATH +export SLI_PATH=/home/alberto/workspace/nest-simulator/b/share/nest/sli:$SLI_PATH +``` +This passage should be repeated every time the Terminal is closed. It is possible to add the two lines in your \.bashrc to avoid doing this every time. + +6. Make and install the module +``` +make +make install +``` + +7. Every time you need the module, you can install it in this way: +``` +python + +``` + +``` +import nest +nest.Install("cerebmodule") + +``` + +8. You can now use all the nodes and synapses contained in this NEST Module. diff --git a/Sgritta2017.h b/Sgritta2017.h new file mode 100644 index 0000000..ae25668 --- /dev/null +++ b/Sgritta2017.h @@ -0,0 +1,706 @@ +/* + * stdp_connection.h + * + * This file is part of NEST. + * + * Copyright (C) 2004 The NEST Initiative + * + * NEST is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 2 of the License, or + * (at your option) any later version. + * + * NEST is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with NEST. If not, see . + * + */ + +#ifndef SGRITTA2017_H +#define SGRITTA2017_H + +// Hard-coded frequency limits +#define F_MIN 0.9 +#define F_MAX 10.1 + + /* + + Vasco Orza and Alberto Antonietti + alberto.antonietti@polimi.it + + Cerebellar MF-GrC Plasticity with STDP + Frequency dependency + + */ + +// C++ includes: +#include +#include +#include +#include +#include + +// Includes from nestkernel: +#include "common_synapse_properties.h" +#include "connection.h" +#include "connector_model.h" +#include "event.h" + +// Includes from sli: +#include "dictdatum.h" +#include "dictutils.h" + +std::ofstream amp_; +std::ofstream window_; +std::ofstream peak_; +std::ofstream stdp_changes_; + +namespace mynest +{ +// connections are templates of target identifier type (used for pointer / +// target index addressing) derived from generic connection template +template < typename targetidentifierT > +class Sgritta2017 : public nest::Connection< targetidentifierT > +{ + +public: + typedef nest::CommonSynapseProperties CommonPropertiesType; + typedef nest::Connection< targetidentifierT > ConnectionBase; + + /** + * Default Constructor. + * Sets default values for all parameters. Needed by GenericConnectorModel. + */ + + + Sgritta2017(); + + /** + * Copy constructor. + * Needs to be defined properly in order for GenericConnector to work. + */ + Sgritta2017( const Sgritta2017& ); + + // Explicitly declare all methods inherited from the dependent base + // ConnectionBase. This avoids explicit name prefixes in all places these + // functions are used. Since ConnectionBase depends on the template parameter, + // they are not automatically found in the base class. + using ConnectionBase::get_delay_steps; + using ConnectionBase::get_delay; + using ConnectionBase::get_rport; + using ConnectionBase::get_target; + + /** + * Get all properties of this connection and put them into a dictionary. + */ + void get_status( DictionaryDatum& d ) const; + + /** + * Set properties of this connection from the values given in dictionary. + */ + void set_status( const DictionaryDatum& d, nest::ConnectorModel& cm ); + + + /** + * Send an event to the receiver of this connection. + * \param e The event to send + * \param t_lastspike Point in time of last spike sent. + * \param cp common properties of all synapses (empty). + */ + void send( nest::Event& e, + nest::thread t, + const nest::CommonSynapseProperties& cp ); + + class ConnTestDummyNode : public nest::ConnTestDummyNodeBase + { + public: + // Ensure proper overriding of overloaded virtual functions. + // Return values from functions are ignored. + using nest::ConnTestDummyNodeBase::handles_test_event; + nest::port + handles_test_event( nest::SpikeEvent&, nest::rport ) + { + return nest::invalid_port_; + } + }; + + void + check_connection( nest::Node& s, + nest::Node& t, + nest::rport receptor_type, + const CommonPropertiesType& ) + { + ConnTestDummyNode dummy_target; + + ConnectionBase::check_connection_( dummy_target, s, t, receptor_type ); + + t.register_stdp_connection( t_lastspike_ - get_delay(), get_delay() ); + } + + void + set_weight( double w ) + { + weight_ = w; + } + +private: + + double + CalculateMultiplier( double Fpeak ) + { + double multiplier; + if ( Fpeak < F_MIN || Fpeak > F_MAX ) + { + multiplier = 0; + } + + if ( Fpeak <= 6 && Fpeak >= 1 ) + { + multiplier = 0.308*Fpeak - 0.848; + } + + if ( Fpeak > 6 && Fpeak <= 10 ) + { + multiplier = -0.115 * Fpeak + 1.69; + } + + return multiplier; + } + + double + FindPeaks( double perc ) + { + std::vector DummyAmp; + std::vector::iterator found; + std::vector::iterator max; + double m; + int index_m; + int i = 0; + while ( Frequencies[ i ] < F_MAX ) + { + DummyAmp.push_back( Amplitudes[ i ] ); + i++; + } + max = std::max_element( DummyAmp.begin(), DummyAmp.end() ); + + m = *max; + + found = std::find( DummyAmp.begin(), DummyAmp.end(), m ); + index_m = distance( DummyAmp.begin(), found ); + + return Frequencies[ index_m ]; + } + + void + four1( void ) + { + unsigned long n = 0, mmax = 0, m = 0, j = 0, istep = 0, i = 0; + double wtemp = 0.0, wr = 0.0, wpr = 0.0, wpi = 0.0, wi = 0.0, theta = 0.0; + double tempr = 0.0, tempi = 0.0; + // reverse-binary reindexing + n = W_int << 1; + j = 1; + + for ( i = 1; i < n; i += 2 ) + { + if ( j > i ) + { + std::swap( Doppio[ j-1 ], Doppio[ i-1 ] ); + std::swap( Doppio[ j ], Doppio[ i ] ); + } + m = W_int; + while ( m >= 2 && j > m ) + { + j -= m; + m >>= 1; + } + j += m; + } + + // here begins the Danielson-Lanczos section + mmax=2; + while( n/2 > mmax ) + { + istep = mmax << 1; + theta = -( 2 * M_PI / mmax ); + wtemp = sin( 0.5 * theta ); + wpr = -2.0 * wtemp * wtemp; + wpi = sin( theta ); + wr = 1.0; + wi = 0.0; + for ( m = 1; m < mmax; m += 2 ) + { + for ( i = m; i <= n; i += istep) + { + j = i + mmax; + tempr = wr * Doppio[ j-1 ] - wi * Doppio[ j ]; + tempi = wr * Doppio[ j ] + wi * Doppio[ j-1 ]; + + Doppio[ j-1 ] = Doppio[ i-1 ] - tempr; + Doppio[ j ] = Doppio[ i ] - tempi; + Doppio[ i-1 ] += tempr; + Doppio[ i ] += tempi; + } + wtemp = wr; + wr += wr * wpr - wi * wpi; + wi += wi * wpr + wtemp * wpi; + } + mmax = istep; + } + } + + void + CalculateA( void ) + { + double sq_sum; + double sq_root; + int j = 0; + + for ( int i = 0; i < W_int; i++ ) + { + Amplitudes[ i ] = 0; + } + + for ( int i = 0; i < W_int * 2; i = i + 2 ) + { + sq_sum = std::pow( Doppio[ i ], 2) + std::pow(Doppio[ i + 1 ], 2 ); + sq_root = std::sqrt(sq_sum); + Amplitudes[ j ] = sq_root; + j++; + } + + for ( int i = 0; i < W_int; i++ ) + { + if (Frequencies[ i ] < F_MIN || Frequencies[ i ] > F_MAX) + { + Amplitudes[ i ] = 0; + } + if ( p_ != 0.0 ) + { + amp_ << Amplitudes [ i ] << " "; + } + } + if ( p_ != 0.0 ) + { + amp_ << std::endl; + } + } + + void + InstantFreq( double t2, double t1, int P, double A ) + { + double b = resolution / 1000.0; + double dT = (t2 - t1) / 1000.0; + double div = resolution / 1000.0; + int len = (int)( dT/div + 0.5 ); + + if ( P + 1 < 0 || P + len >= W_int ) + { + std::cout << " CHECK7 FAIL " << std::endl; + } + + for ( int i = P + 1; i <= P + len; i++ ) + { + Window[ i ] = A * std::exp( -1.0 * b / 0.25 ); + b = b + div; + } + + Window[ P+len ] = Window[ P+len ] + 4.0; + + if (p_ != 0 ) + { + for (int i = 0; i < W_int; i++ ) + { + window_ << Window[ i ] << " "; + } + window_ << std::endl; + } + + } + + void + MoveWindow( double dT, double posOld, int flagM ) + { + if ( flagM == 1 || posOld >= W_int ) + { + posOld = W_int - 1; + } + + int step = dT - ( ( W_int - 1 ) - posOld ); + + if (step<0 || posOld>=W_int) + { + std::cout << " CHECK6 FAIL " << " " << step << " " << posOld <= 1.0 && Peak <= 2.75 ) // Only LTD if Peak between 1 and 2.75 Hz + { + if ( w < 0 ) + { + norm_w = -1*( std::abs( w ) - std::abs( w * alpha_ * kplus * scaleFactor ) ); + } + else if ( w >= 0 ) + { + norm_w = w - std::abs( w * alpha_ * kplus * scaleFactor ); + } + } + else if ( Peak > 2.75 ) // Both LTP and LTD + { + if ( w < 0 ) + { + norm_w = -1*( std::abs( w ) + ( w * alpha_ * kplus * scaleFactor ) ); + } + else if ( w >= 0 ) + { + norm_w = w + ( w * alpha_ * kplus * scaleFactor ); + } + } + else + { + return w; + } + + return norm_w; + } + + // data members of each connection + double weight_; + double tau_plus_; + double lambda_; + double alpha_; + long mu_plus_; // Size of the moving windows (in seconds) + double mu_minus_; + double Wmax_; + double Kplus_; + double Wmin_; + int p; + double dtp_; + double dtn_; + double t_old; + double alpha = 0; + int flag = 0; + int flagMove = 0; + int move; + int posF; + int pos; + int pos_old = 0; + double deltaT; + int W; + int W_int; + double resolution = nest::Time::get_resolution().get_ms(); + std::vector Window; + std::vector Frequencies; + std::vector Doppio; + std::vector Amplitudes; + double t_lastspike_; + double p_; // flag, set to 1.0 only for debugging +}; + + +/** + * Send an event to the receiver of this connection. + * \param e The event to send + * \param t The thread on which this connection is stored. + * \param t_lastspike_ Time point of last spike emitted + * \param cp Common properties object, containing the stdp parameters. + */ +template < typename targetidentifierT > +inline void +Sgritta2017< targetidentifierT >::send( nest::Event& e, + nest::thread t, + const nest::CommonSynapseProperties& ) +{ + double t_spike = e.get_stamp().get_ms(); + // use accessor functions (inherited from Connection< >) to obtain delay and + // target + nest::Node* target = get_target( t ); + + double dendritic_delay = get_delay(); + + // get spike history in relevant range (t1, t2 ] from post-synaptic neuron + std::deque< nest::histentry >::iterator start; + std::deque< nest::histentry >::iterator finish; + + target->get_history( + t_lastspike_ - dendritic_delay, t_spike - dendritic_delay, &start, &finish ); + + + W = mu_plus_; + W_int = (int) ( ( W * 1000 ) / resolution + 0.5 ); + + posF = (int) ( t_spike / resolution + 0.5 ); + deltaT = (int)( ( t_spike - t_old ) / resolution + 0.5 ); + // After the first pre-synaptic spike + if (flag == 0) + { + Inizializza(); + posF = posF % W_int; + if (posF < 0 || posF >= W_int ) + { + std::cout << " CHECK1 FAIL " << std::endl; + } + Window[ posF ] = 4.0; + flag = 1; + } + // The instantaneous frequency buffer is being filled + else if ( pos_old + deltaT < W_int && flag != 0 ) + { + if ( pos_old < 0 || pos_old >= W_int ) + { + std::cout << " CHECK4 FAIL " << std::endl; + } + InstantFreq( t_spike, t_old, pos_old, Window[ pos_old ] ); + } + else if ( pos_old + deltaT >= W_int && flag != 0 && deltaT < W_int ) + { + MoveWindow(deltaT, pos_old, flagMove); + + if ( flagMove != 0 ) + { + pos = W_int - 1 - deltaT; + if ( pos < 0 || pos >= W_int ) + { + std::cout << " CHECK2 FAIL " << std::endl; + } + InstantFreq( t_spike, t_old, pos, Window[ pos ] ); + Duplica( flagMove ); + four1(); + CalculateA(); + + if ( t == 0 && p_ != 0.0 ) + { + peak_ << FindPeaks( mu_minus_ ) << "\t"; + } + } + else if ( flagMove == 0 ) + { + p = deltaT - ( ( W_int - 1 ) - pos_old ); + pos = pos_old - p; + if ( pos < 0 || pos >= W_int ) + { + std::cout << " CHECK3 FAIL " << pos << std::endl; + } + InstantFreq( t_spike, t_old, pos, Window[ pos ]); + Duplica( flagMove ); + four1(); + CalculateA(); + flagMove = 1; + if ( t == 0 && p_ != 0.0 ) + { + peak_ << FindPeaks( mu_minus_ ) << "\t"; + } + } + } + + + + t_old = t_spike; + pos_old = posF; + + while ( start != finish ) + { + // Delta_t > 0 - causal spikes (pre-synaptic spike -> post-synaptic spike) + double peak = FindPeaks( mu_minus_ ); + dtp_ = ( start ->t_ ) - t_lastspike_; // DeltaT = T_post - T_pre + Kplus_ = calculate_k_( dtp_ ); + alpha = CalculateMultiplier( peak ); + double weight_pre = weight_; + weight_ = facilitate_( weight_, Kplus_, alpha, peak ); + if ( p_ != 0.0 ) + { + stdp_changes_ << ( start ->t_ ) << " " << dtp_ << " " << Kplus_ << " " << alpha << " " << peak << " " << weight_-weight_pre << std::endl; + } + // Delta_t < 0 anti-causal spikes (post-synaptic spike -> pre-synaptic spike) + dtn_ = ( start ->t_ ) - t_spike; // DeltaT = T_post - T_pre + Kplus_ = calculate_k_( dtn_ ); + weight_pre = weight_; + weight_ = facilitate_( weight_, Kplus_, alpha, peak ); + if ( p_ != 0.0 ) + { + stdp_changes_ << ( start ->t_ ) << " " << dtn_ << " " << Kplus_ << " " << alpha << " " << peak << " " << weight_-weight_pre << std::endl; + } + ++start; + } + + e.set_receiver( *target ); + if ( weight_ < Wmin_ ) + { + weight_ = Wmin_; + } + if ( weight_ > Wmax_ ) + { + weight_ = Wmax_; + } + e.set_weight( weight_ ); + // use accessor functions (inherited from Connection< >) to obtain delay in + // steps and rport + e.set_delay_steps( get_delay_steps() ); + e.set_rport( get_rport() ); + e(); + + t_lastspike_ = t_spike; + +} + + +template < typename targetidentifierT > +Sgritta2017< targetidentifierT >::Sgritta2017() + : ConnectionBase() + , weight_( 1.0 ) + , tau_plus_( 20.0 ) + , lambda_( 0.01 ) + , alpha_( 1.0 ) + , mu_plus_( 1 ) + , mu_minus_( 1.0 ) + , Wmax_( 100.0 ) + , Kplus_( 0.0 ) + , Wmin_(-100.0) + , t_lastspike_( 0.0 ) + , p_( 0.0 ) +{ +} + +template < typename targetidentifierT > +Sgritta2017< targetidentifierT >::Sgritta2017( + const Sgritta2017< targetidentifierT >& rhs ) + : ConnectionBase( rhs ) + , weight_( rhs.weight_ ) + , tau_plus_( rhs.tau_plus_ ) + , lambda_( rhs.lambda_ ) + , alpha_( rhs.alpha_ ) + , mu_plus_( rhs.mu_plus_ ) + , mu_minus_( rhs.mu_minus_ ) + , Wmax_( rhs.Wmax_ ) + , Kplus_( rhs.Kplus_ ) + , Wmin_( rhs.Wmin_ ) + , t_lastspike_( rhs.t_lastspike_ ) + , p_( rhs.p_ ) +{ +} + +template < typename targetidentifierT > +void +Sgritta2017< targetidentifierT >::get_status( DictionaryDatum& d ) const +{ + ConnectionBase::get_status( d ); + def< double >( d, nest::names::weight, weight_ ); + def< double >( d, nest::names::tau_plus, tau_plus_ ); + def< double >( d, nest::names::lambda, lambda_ ); + def< double >( d, nest::names::alpha, alpha_ ); + def< long >( d, nest::names::mu_plus, mu_plus_ ); + def< double >( d, nest::names::mu_minus, mu_minus_ ); + def< double >( d, nest::names::Wmax, Wmax_ ); + def< double >( d, nest::names::Wmin, Wmin_ ); + def< long >( d, nest::names::size_of, sizeof( *this ) ); + def< double >( d, nest::names::P, p_ ); +} + +template < typename targetidentifierT > +void +Sgritta2017< targetidentifierT >::set_status( const DictionaryDatum& d, + nest::ConnectorModel& cm ) +{ + ConnectionBase::set_status( d, cm ); + updateValue< double >( d, nest::names::weight, weight_ ); + updateValue< double >( d, nest::names::tau_plus, tau_plus_ ); + updateValue< double >( d, nest::names::lambda, lambda_ ); + updateValue< double >( d, nest::names::alpha, alpha_ ); + updateValue< long >( d, nest::names::mu_plus, mu_plus_ ); + updateValue< double >( d, nest::names::mu_minus, mu_minus_ ); + updateValue< double >( d, nest::names::Wmax, Wmax_ ); + updateValue< double >( d, nest::names::Wmin, Wmin_ ); + updateValue< double >( d, nest::names::P, p_ ); + // only one synapse can write to file + if ( p_ != 0.0 ) + { + std::cout << "WARNING! Sgritta synapse is writing to a file! " << std::endl; + window_.open( "window.dat" ); + amp_.open( "amp.dat" ); + peak_.open( "peak.dat" ); + stdp_changes_.open( "stdp_changes.dat" ); + } + // check if weight_ and Wmax_ has the same sign + if ( not( ( ( weight_ >= 0 ) - ( weight_ < 0 ) ) + == ( ( Wmax_ >= 0 ) - ( Wmax_ < 0 ) ) ) ) + { + throw nest::BadProperty( "Weight and Wmax must have the same sign." ); + } +} + +} // of namespace nest + +#endif // of #ifndef SGRITTA2017_ diff --git a/Tests/Check_Models.py b/Tests/Check_Models.py new file mode 100644 index 0000000..1222bfa --- /dev/null +++ b/Tests/Check_Models.py @@ -0,0 +1,35 @@ +import nest +import sys + +nest.Install("cerebmodule") + +VT = nest.Create("volume_transmitter_alberto", 1) + +PRE = nest.Create("iaf_cond_exp", 1) +POST = nest.Create("iaf_cond_exp", 1) + +conn_param1 = {"model": 'stdp_synapse_sinexp', + "A_minus": -0.01, # double - Amplitude of weight change for depression + "A_plus": 0.01, # double - Amplitude of weight change for facilitation + "Wmin": 0.0, # double - Minimal synaptic weight + "Wmax": 4.0, # double - Maximal synaptic weight, + "weight": 1.0, + "delay": 1.0} + +nest.Connect(PRE,POST,{'rule': 'one_to_one'},conn_param1) +A=nest.GetConnections(PRE,POST) +nest.SetStatus(A,{'vt_num': 0.0}) + +conn_param2 = {"model": 'stdp_synapse_cosexp', + "A_minus": -0.01, # double - Amplitude of weight change for depression + "A_plus": 0.01, # double - Amplitude of weight change for facilitation + "Wmin": 0.0, # double - Minimal synaptic weight + "Wmax": 4.0, # double - Maximal synaptic weight, + "weight": 1.0, + "delay": 1.0} + +nest.Connect(POST,PRE,{'rule': 'one_to_one'},conn_param2) +A=nest.GetConnections(POST,PRE) +nest.SetStatus(A,{'vt_num': 0.0}) + +sys.exit(0) #Everything went fine diff --git a/Tests/Check_MultiThreading.py b/Tests/Check_MultiThreading.py new file mode 100644 index 0000000..6bcae43 --- /dev/null +++ b/Tests/Check_MultiThreading.py @@ -0,0 +1,61 @@ +import sys +import nest +import numpy as np +nest.Install("cerebmodule") + +CORES = int(sys.argv[1]) + +nest.set_verbosity('M_WARNING') +nest.ResetKernel() +nest.SetKernelStatus({'local_num_threads' : CORES, + 'total_num_virtual_procs' : CORES, + 'resolution' : 1.0, + 'overwrite_files' : True}) +msd = 1000 # master seed +n_vp = nest.GetKernelStatus('total_num_virtual_procs') +msdrange1 = range(msd, msd+n_vp ) +pyrngs = [np.random.RandomState(s) for s in msdrange1] +msdrange2=range(msd+n_vp+1, msd+1+2*n_vp) +nest.SetKernelStatus({'grng_seed' : msd+n_vp, + 'rng_seeds' : msdrange2}) + + +VT = nest.Create("volume_transmitter_alberto", 1) +PRE = nest.Create("parrot_neuron", 1) +POST = nest.Create("iaf_cond_exp", 1) +Modulator = nest.Create("parrot_neuron",1) +recdict = {"to_memory": False, + "to_file": True, + "label": "Weights_"+str(CORES), + "senders": PRE, + "targets": POST + } +WeightRec= nest.Create('weight_recorder',params=recdict) + +nest.SetDefaults('stdp_synapse_sinexp',{"A_minus": -0.10, # double - Amplitude of weight change for depression + "A_plus": 0.01, # double - Amplitude of weight change for facilitation + "Wmin": 0.0, # double - Minimal synaptic weight + "Wmax": 4.0, # double - Maximal synaptic weight + "vt": VT[0], + "weight_recorder": WeightRec[0] }) + +conn_param1 = {"model": 'stdp_synapse_sinexp', + "weight": 1.0, + "delay": 1.0} + +nest.Connect(PRE,POST,{'rule': 'one_to_one'},conn_param1) +A = nest.GetConnections(PRE,POST) +nest.SetStatus(A, {"vt_num" : 0.0}) +SPIKES1 = [50.0, 100.0, 110.0, 120.0, 130.0, 210.0, 370.0, 490.0] +SPIKES2 = [1.0, 200.0, 220.0, 230.0] + +PoissonGen1 = nest.Create('spike_generator',params={'spike_times': SPIKES1}) +PoissonGen2 = nest.Create('spike_generator',params={'spike_times': SPIKES2}) + +nest.Connect(PoissonGen1,PRE,'one_to_one') +nest.Connect(PoissonGen2,Modulator,'one_to_one') +nest.Connect(Modulator,VT,'one_to_one') + +nest.Simulate(500.0) + +sys.exit(0) #Everything went fine diff --git a/Tests/Compare_with_Ground_Truth1.py b/Tests/Compare_with_Ground_Truth1.py new file mode 100644 index 0000000..6a1226d --- /dev/null +++ b/Tests/Compare_with_Ground_Truth1.py @@ -0,0 +1,125 @@ +import sys +import numpy as np +import os +import glob + +# Building the Weight Matrix Ground Truth +LTP1 = 1.0e-3 +LTD1 = -1.0e-2 +Init_PFPC = 0.07 + +IO_Spikes = [10.0, 100.0, 300.0, 310.0, 320.0, 500.0, 600.0, 700.0, 800.0, 999.0] + +Weight_Matrix = [] +GR_Activity=np.loadtxt("GR_65600.dat") +for t in range(65600): + t_array=GR_Activity[t] + count=0 + LTD_amount = [] + LTD_time = [] + CurrentWeight = [] + LTD_index = 0 + for GRspike in t_array: + if count == 0: + CurrentWeight.append(Init_PFPC+LTP1) + spike_diff = IO_Spikes-(GRspike+2) + spike_diff = spike_diff[np.where((spike_diff>0) & (spike_diff <= 200))] + for sds in spike_diff: + LTD_amount.append(LTD1*np.exp(-(-sds-150.0)/1000.0)*pow((np.sin(2*3.1415*(-sds-150)/1000.0)),20)/1.2848) + LTD_time.append(sds+GRspike+1) + count+=1 + else: + CurrentWeight.append(CurrentWeight[count-1]+LTP1) + spike_diff = IO_Spikes-(GRspike+2) + spike_diff = spike_diff[np.where((spike_diff>0) & (spike_diff <= 200))] + for sds in spike_diff: + LTD_amount.append(LTD1*np.exp(-(-sds-150.0)/1000.0)*pow((np.sin(2*3.1415*(-sds-150)/1000.0)),20)/1.2848) + LTD_time.append(sds+GRspike+1) + count+=1 + CurrentWeight=np.array(CurrentWeight) + LTD_amount=np.array([x for _,x in sorted(zip(LTD_time,LTD_amount))]) + LTD_time = sorted(LTD_time) + LTD_time_u = np.unique(LTD_time) + amou = [] + for LTD_times_u in LTD_time_u: + ind = np.where(LTD_time == LTD_times_u)[0] + amou.append(np.sum(LTD_amount[ind])) + count = 0 + for n,LTD_times_u in enumerate(LTD_time_u): + ind = np.where(t_array>LTD_times_u)[0] + for index in ind: + CurrentWeight[index]=CurrentWeight[index]+amou[n] + for n,w in enumerate(CurrentWeight): + Weight_Matrix.append([t+1, 65601, t_array[n]+1, round(w,8)]) + +IO_Spikes = [20.0, 200.0, 260.0, 360.0, 370.0, 460.0, 560.0, 660.0, 760.0, 959.0] + +for t in range(65600): + t_array=GR_Activity[t] + count=0 + LTD_amount = [] + LTD_time = [] + CurrentWeight = [] + LTD_index = 0 + for GRspike in t_array: + if count == 0: + CurrentWeight.append(Init_PFPC+LTP1) + spike_diff = IO_Spikes-(GRspike+2) + spike_diff = spike_diff[np.where((spike_diff>0) & (spike_diff <= 200))] + for sds in spike_diff: + LTD_amount.append(LTD1*np.exp(-(-sds-150.0)/1000.0)*pow((np.sin(2*3.1415*(-sds-150)/1000.0)),20)/1.2848) + LTD_time.append(sds+GRspike+1) + count+=1 + else: + CurrentWeight.append(CurrentWeight[count-1]+LTP1) + spike_diff = IO_Spikes-(GRspike+2) + spike_diff = spike_diff[np.where((spike_diff>0) & (spike_diff <= 200))] + for sds in spike_diff: + LTD_amount.append(LTD1*np.exp(-(-sds-150.0)/1000.0)*pow((np.sin(2*3.1415*(-sds-150)/1000.0)),20)/1.2848) + LTD_time.append(sds+GRspike+1) + count+=1 + CurrentWeight=np.array(CurrentWeight) + LTD_amount=np.array([x for _,x in sorted(zip(LTD_time,LTD_amount))]) + LTD_time = sorted(LTD_time) + LTD_time_u = np.unique(LTD_time) + amou = [] + for LTD_times_u in LTD_time_u: + ind = np.where(LTD_time == LTD_times_u)[0] + amou.append(np.sum(LTD_amount[ind])) + count = 0 + for n,LTD_times_u in enumerate(LTD_time_u): + ind = np.where(t_array>LTD_times_u)[0] + for index in ind: + CurrentWeight[index]=CurrentWeight[index]+amou[n] + for n,w in enumerate(CurrentWeight): + Weight_Matrix.append([t+1, 65602, t_array[n]+1, round(w,8)]) + +Weight_Matrix=np.array(Weight_Matrix) + +SimResults1 = np.loadtxt("PFPC1.csv") +SimResults4 = np.loadtxt("PFPC4.csv") + +print( ["Length Ground Truth: " + str(len(Weight_Matrix)) + " Length Simulation1 Results: " + str(len(SimResults1)) + " Length Simulation4 Results: " + str(len(SimResults4)) ]) + +SimResults1=np.matrix(SimResults1) +SimResults4=np.matrix(SimResults4) +Weight_Matrix=np.matrix(Weight_Matrix) + +Weight_Matrix.sort(axis=0) +SimResults1.sort(axis=0) +SimResults4.sort(axis=0) + +Difference1 = SimResults1-Weight_Matrix +# Get rid of approximation errors +Error1 = np.sum(Difference1) + +Difference4 = SimResults4-Weight_Matrix +# Get rid of approximation errors +Error4 = np.sum(Difference4) + +Error = Error1 + Error4 + +if Error < 3.0: + sys.exit(0) +else: + sys.exit(-1) diff --git a/Tests/Compare_with_Ground_Truth2.py b/Tests/Compare_with_Ground_Truth2.py new file mode 100644 index 0000000..7cb213a --- /dev/null +++ b/Tests/Compare_with_Ground_Truth2.py @@ -0,0 +1,34 @@ +import sys +import numpy as np +import os +import glob + +# Building the Weight Matrix Ground Truth +Weight_Matrix=np.loadtxt("MFDCN.dat") +SimResults1 = np.loadtxt("MFDCN1.csv") +SimResults4 = np.loadtxt("MFDCN4.csv") + +print( ["Length Ground Truth: " + str(len(Weight_Matrix)) + " Length Simulation1 Results: " + str(len(SimResults1)) + " Length Simulation4 Results: " + str(len(SimResults4)) ]) + +SimResults1=np.matrix(SimResults1) +SimResults4=np.matrix(SimResults4) +Weight_Matrix=np.matrix(Weight_Matrix) + +Weight_Matrix.sort(axis=0) +SimResults1.sort(axis=0) +SimResults4.sort(axis=0) + +Difference1 = SimResults1-Weight_Matrix +# Get rid of approximation errors +Error1 = np.sum(Difference1) + +Difference4 = SimResults4-Weight_Matrix +# Get rid of approximation errors +Error4 = np.sum(Difference4) + +Error = Error1 + Error4 + +if Error < 3.0: + sys.exit(0) +else: + sys.exit(-1) diff --git a/Tests/Compare_with_Ground_Truth3.py b/Tests/Compare_with_Ground_Truth3.py new file mode 100644 index 0000000..35e226e --- /dev/null +++ b/Tests/Compare_with_Ground_Truth3.py @@ -0,0 +1,34 @@ +import sys +import numpy as np +import os +import glob + +# Building the Weight Matrix Ground Truth +Weight_Matrix=np.loadtxt("iSTDP.dat") +SimResults1 = np.loadtxt("iSTDP1.csv") +SimResults4 = np.loadtxt("iSTDP4.csv") + +print( ["Length Ground Truth: " + str(len(Weight_Matrix)) + " Length Simulation1 Results: " + str(len(SimResults1)) + " Length Simulation4 Results: " + str(len(SimResults4)) ]) + +SimResults1=np.matrix(SimResults1) +SimResults4=np.matrix(SimResults4) +Weight_Matrix=np.matrix(Weight_Matrix) + +Weight_Matrix.sort(axis=0) +SimResults1.sort(axis=0) +SimResults4.sort(axis=0) + +Difference1 = SimResults1-Weight_Matrix +# Get rid of approximation errors +Error1 = np.sum(Difference1) + +Difference4 = SimResults4-Weight_Matrix +# Get rid of approximation errors +Error4 = np.sum(Difference4) + +Error = Error1 + Error4 + +if Error < 3.0: + sys.exit(0) +else: + sys.exit(-1) diff --git a/Tests/GR_65600.dat b/Tests/GR_65600.dat new file mode 100644 index 0000000..efadda9 --- /dev/null +++ b/Tests/GR_65600.dat @@ -0,0 +1,65600 @@ +8.600000000000000000e+01 5.060000000000000000e+02 6.710000000000000000e+02 7.810000000000000000e+02 8.560000000000000000e+02 +6.600000000000000000e+01 1.940000000000000000e+02 3.040000000000000000e+02 3.500000000000000000e+02 5.620000000000000000e+02 +1.330000000000000000e+02 2.630000000000000000e+02 3.470000000000000000e+02 4.250000000000000000e+02 6.820000000000000000e+02 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+++ b/Tests/Learning_Performance_Test.py @@ -0,0 +1,171 @@ +import sys +import numpy as np +import auxiliary_functions as aux +import nest +import os +import errno +import glob + +nest.Install("cerebmodule") + +# Cell numbers +GR_number = 65600 +PC_number = 2 +IO_number = 2 + +''' SIMULATION PROPERTIES ''' +CORES = int(sys.argv[1]) +RECORDING_CELLS = True +RECORDING_WEIGHTS = True +PLAST1 = True + +''' PROTOCOL SETUP ''' +LTP1 = 1.0e-3 +LTD1 = -1.0e-2 + +Init_PFPC = 0.07 + +aux.tic() +''' VARIABLES INITIALIZATION ''' +nest.set_verbosity('M_ERROR') +nest.ResetKernel() +nest.SetKernelStatus({'local_num_threads' : CORES, + 'total_num_virtual_procs' : CORES, + 'resolution' : 1.0, + 'overwrite_files' : True}) +msd = 1000 # master seed +msdrange1 = range(msd, msd+CORES ) +pyrngs = [np.random.RandomState(s) for s in msdrange1] +msdrange2=range(msd+CORES+1, msd+1+2*CORES) +nest.SetKernelStatus({'grng_seed' : msd+CORES, + 'rng_seeds' : msdrange2}) + +# Define the new kinds of neuron +nest.CopyModel('parrot_neuron','granular_neuron') +nest.CopyModel('iaf_cond_exp','purkinje_neuron') +nest.CopyModel('parrot_neuron','olivary_neuron') + +nest.SetDefaults('purkinje_neuron',{'t_ref' : 2.0, + 'C_m' : 400.0, + 'V_th' : -52.0, + 'V_reset' : -70.0, + 'g_L' : 16.0, + 'tau_syn_ex' : 0.5, + #'tau_m' : 25.0, + 'tau_syn_in' : 1.6}) + +GR = nest.Create("granular_neuron", GR_number) +PC = nest.Create("purkinje_neuron", PC_number) +IO = nest.Create("olivary_neuron", IO_number) + +InputGen = nest.Create("spike_generator", GR_number) +ErrorGen = nest.Create("spike_generator", IO_number) +if RECORDING_WEIGHTS: + recdict2 = {"to_memory": False, + "to_file": True, + "label": "PFPC", + "senders": GR, + "targets": PC, + "precision": 8 + } + WeightPFPC = nest.Create('weight_recorder',params=recdict2) + +if PLAST1: + vt=nest.Create("volume_transmitter_alberto",PC_number) + for n,vti in enumerate(vt): + nest.SetStatus([vti],{"vt_num" : n}) + +# Connection 0 +nest.Connect(InputGen,GR,"one_to_one",{"model": "static_synapse", + "weight": 1.0, + "delay": 1.0 + }) + +nest.Connect(ErrorGen,IO,"one_to_one",{"model": "static_synapse", + "weight": 1.0, + "delay": 1.0 + }) + +# Connection 6 +if PLAST1: + if RECORDING_WEIGHTS: + nest.SetDefaults('stdp_synapse_sinexp',{"A_minus": LTD1, # double - Amplitude of weight change for depression + "A_plus": LTP1, # double - Amplitude of weight change for facilitation + "Wmin": 0.0, # double - Minimal synaptic weight + "Wmax": 4.0, # double - Maximal synaptic weight + "weight_recorder": WeightPFPC[0], + "vt": vt[0] + }) + else: + nest.SetDefaults('stdp_synapse_sinexp',{"A_minus": LTD1, # double - Amplitude of weight change for depression + "A_plus": LTP1, # double - Amplitude of weight change for facilitation + "Wmin": 0.0, # double - Minimal synaptic weight + "Wmax": 4.0, + "vt": vt[0] + }) + + for n,PCi in enumerate(PC): + PFPC_conn_param = {"model": 'stdp_synapse_sinexp', + "weight": Init_PFPC, + "delay": 1.0, + "vt_num": float(n) + } + nest.Connect(GR, [PCi], {'rule': "fixed_indegree", 'indegree': 65600, "multapses": False, "autapses": False}, + PFPC_conn_param) + + +else: + PFPC_conn_param = {"model": "static_synapse", + "weight": Init_PFPC, + "delay": 1.0, + } + nest.Connect(GR,PC,{'rule': "fixed_indegree", 'indegree':65600, "multapses": False, "autapses": False},PFPC_conn_param) + +# Connection 7 +if PLAST1: + # IO-PC teaching connections + nest.Connect(IO,vt,'one_to_one',{"model": "static_synapse", + "weight": 1.0, + "delay": 1.0}) + IOPC_conn = nest.GetConnections(IO,vt) + print("Number of IO-PC (volume_transmitter) synapses: " + str(len(IOPC_conn))) + +if RECORDING_CELLS: + # Create Auxiliary tools + recdict = [{"to_memory": True, "to_file":True, "withgid":True, "withtime": True, "label":"Spike_Detector_GR"}, + {"to_memory": True, "to_file":True, "withgid":True, "withtime": True, "label":"Spike_Detector_PC"}, + {"to_memory": True, "to_file":True, "withgid":True, "withtime": True, "label":"Spike_Detector_IO"}] + spikedetector = nest.Create("spike_detector",3,params=recdict) + nest.Connect(GR, [spikedetector[0]]) + nest.Connect(PC, [spikedetector[1]]) + nest.Connect(IO, [spikedetector[2]]) + +# Load input activity on GRs +GRinput_file = open("GR_65600.dat",'r') +for InputGeni in InputGen: + Spikes_s = GRinput_file.readline() + Spikes_s = Spikes_s.split() + Spikes_f = [] + for elements in Spikes_s: + Spikes_f.append(float(elements)) + nest.SetStatus([InputGeni],{'spike_times' : Spikes_f}) + +nest.SetStatus([ErrorGen[0]],{'spike_times' : [8.0, 98.0, 298.0, 308.0, 318.0, 498.0, 598.0, 698.0, 798.0, 997.0]}) +nest.SetStatus([ErrorGen[1]],{'spike_times' : [18.0, 198.0, 258.0, 358.0, 368.0, 458.0, 558.0, 658.0, 758.0, 957.0]}) + +aux.toc() + +msd = 1000 # master seed +n_vp = nest.GetKernelStatus('total_num_virtual_procs') +msdrange1 = range(msd, msd+n_vp ) +pyrngs = [np.random.RandomState(s) for s in msdrange1] +msdrange2=range(msd+n_vp+1, msd+1+2*n_vp) +nest.SetKernelStatus({'grng_seed' : msd+n_vp, + 'rng_seeds' : msdrange2}) + +print("### SIMULATION STARTS ###") +aux.tic() +nest.Simulate(1001) +aux.toc() + +sys.exit(0) #Everything went fine diff --git a/Tests/Learning_Performance_Test2.py b/Tests/Learning_Performance_Test2.py new file mode 100644 index 0000000..76bec0c --- /dev/null +++ b/Tests/Learning_Performance_Test2.py @@ -0,0 +1,154 @@ +import sys +import numpy as np +import auxiliary_functions as aux +import nest +import os +import errno +import glob + +#@profile +def main(): + nest.Install("cerebmodule") + + # Cell numbers + MF_number = 100 + PC_number = 100 + DCN_number = 100 + + ''' SIMULATION PROPERTIES ''' + CORES = int(sys.argv[1]) + + ''' PROTOCOL SETUP ''' + LTP2 = 1.0e-5 + LTD2 = -1.0e-1 + + Init_MFDCN = 1.0 + Init_PCDCN = -0.0000000001 + + aux.tic() + ''' VARIABLES INITIALIZATION ''' + nest.set_verbosity('M_ERROR') + nest.ResetKernel() + nest.SetKernelStatus({'local_num_threads': CORES, + 'total_num_virtual_procs': CORES, + 'resolution': 1.0, + 'overwrite_files': True}) + msd = 1000 # master seed + msdrange1 = range(msd, msd + CORES) + pyrngs = [np.random.RandomState(s) for s in msdrange1] + msdrange2 = range(msd + CORES + 1, msd + 1 + 2 * CORES) + nest.SetKernelStatus({'grng_seed': msd + CORES, + 'rng_seeds': msdrange2}) + + + MF = nest.Create("iaf_cond_exp", MF_number) + PC = nest.Create("iaf_cond_exp", PC_number) + DCN = nest.Create("iaf_cond_exp", DCN_number) + + InputGen = nest.Create("spike_generator", MF_number) + ErrorGen = nest.Create("spike_generator", PC_number) + + recdict2 = {"to_memory": False, + "to_file": True, + "label": "MFDCN", + "senders": MF, + "targets": DCN + } + WeightMFDCN = nest.Create('weight_recorder', params=recdict2) + + + vt2 = nest.Create("volume_transmitter_alberto", DCN_number) + for n, vti in enumerate(vt2): + nest.SetStatus([vti], {"vt_num": n}) + + nest.Connect(InputGen, MF, "one_to_one", {"model": "static_synapse", + "weight": 1000.0, + "delay": 1.0 + }) + + nest.Connect(ErrorGen, PC, "one_to_one", {"model": "static_synapse", + "weight": 1000.0, + "delay": 1.0 + }) + + PCDCN_conn_param = {"model": "static_synapse", + "weight": Init_PCDCN, + "delay": 1.0} + + nest.Connect(PC, DCN, "one_to_one", PCDCN_conn_param) + + + nest.SetDefaults('stdp_synapse_cosexp', {"A_minus": LTD2, # double - Amplitude of weight change for depression + "A_plus": LTP2, # double - Amplitude of weight change for facilitation + "Wmin": 0.0, # double - Minimal synaptic weight + "Wmax": 1.0, # double - Maximal synaptic weight + "vt": vt2[0], + "weight_recorder": WeightMFDCN[0] + }) + + nest.CopyModel('static_synapse', 'static_synapse_vt') + for i, DCNind in enumerate(DCN): + MFDCN_conn_param = {"model": 'stdp_synapse_cosexp', + "weight": Init_MFDCN, + "delay": 1.0, + "vt_num": float(i)} + + nest.Connect([MF[i]], [DCNind], "one_to_one", MFDCN_conn_param) + + B = nest.GetConnections(PC, [DCNind]) + B = np.array(B) + if (len(B) > 0): + source = B[:, 0] + nest.Connect(source.tolist(), [vt2[i]], {"rule": "all_to_all"}, {'model': 'static_synapse_vt', + 'delay': 1.0, + 'weight': 1.0}) + + + + # Create Auxiliary tools + recdict = [{"to_memory": True, "to_file": True, "withgid": True, "withtime": True, "label": "Spike_Detector_MF"}, + {"to_memory": True, "to_file": True, "withgid": True, "withtime": True, "label": "Spike_Detector_PC"}, + {"to_memory": True, "to_file": True, "withgid": True, "withtime": True, "label": "Spike_Detector_DCN"}] + spikedetector = nest.Create("spike_detector", 3, params=recdict) + nest.Connect(MF, [spikedetector[0]]) + nest.Connect(PC, [spikedetector[1]]) + nest.Connect(DCN, [spikedetector[2]]) + + # Load input activity on MFs and PCs + for i, InputGeni in enumerate(InputGen): + nest.SetStatus([InputGeni], {'spike_times': [1.0, 1001.0, 3001+float(i), 5001.0]}) + + for i, InputGeni in enumerate(ErrorGen): + nest.SetStatus([InputGeni], {'spike_times': [1001.0+float(i), 3000.0]}) + + aux.toc() + + msd = 1000 # master seed + n_vp = nest.GetKernelStatus('total_num_virtual_procs') + msdrange1 = range(msd, msd + n_vp) + pyrngs = [np.random.RandomState(s) for s in msdrange1] + msdrange2 = range(msd + n_vp + 1, msd + 1 + 2 * n_vp) + nest.SetKernelStatus({'grng_seed': msd + n_vp, + 'rng_seeds': msdrange2}) + + + + print( " - Number synapses: " + str(len(nest.GetConnections()))) + + print("### SIMULATION STARTS ###") + aux.tic() + nest.Simulate(500.0) + nest.SetStatus(nest.GetConnections(MF,DCN),{'weight': Init_MFDCN}) + nest.Simulate(1500.0) + nest.SetStatus(nest.GetConnections(MF,DCN),{'weight': Init_MFDCN}) + nest.Simulate(5000.0) + + aux.toc() + + sys.exit(0) # Everything went fine + + +if __name__ == '__main__': + main() + + nest.GetStatus(nest.GetConnections(MF, DCN), {'weight': Init_MFDCN}) diff --git a/Tests/Learning_Performance_iSTDP.py b/Tests/Learning_Performance_iSTDP.py new file mode 100644 index 0000000..69127e0 --- /dev/null +++ b/Tests/Learning_Performance_iSTDP.py @@ -0,0 +1,99 @@ +import sys +import numpy as np +import auxiliary_functions as aux +import nest +import os +import errno +import glob + + +nest.Install("cerebmodule") + +''' SIMULATION PROPERTIES ''' +CORES = int(sys.argv[1]) + +aux.tic() +''' VARIABLES INITIALIZATION ''' +nest.set_verbosity('M_ERROR') +nest.ResetKernel() +nest.SetKernelStatus({'local_num_threads': CORES, + 'total_num_virtual_procs': CORES, + 'resolution': 1.0, + 'overwrite_files': True}) +msd = 1000 # master seed +msdrange1 = range(msd, msd + CORES) +pyrngs = [np.random.RandomState(s) for s in msdrange1] +msdrange2 = range(msd + CORES + 1, msd + 1 + 2 * CORES) +nest.SetKernelStatus({'grng_seed': msd + CORES, + 'rng_seeds': msdrange2}) + +Pre_neurons = nest.Create("iaf_cond_exp", 1000) +Post_neurons = nest.Create("iaf_cond_exp", 1000) +PreGen = nest.Create("spike_generator", 1000) +PostGen = nest.Create("spike_generator", 1000) + +recdict2 = {"to_memory": False, + "to_file": True, + "label": "iSTDP", + "senders": Pre_neurons, + "targets": Post_neurons + } +WeightRec = nest.Create('weight_recorder', params=recdict2) + +C = 5.0451 +r_LTP_LTD = 0.552 +Wmax_istdp = 15.0 +Wmin_istdp = -15.0 +tau_p_istdp = 125.0 +tau_m_istdp = 195.6 +nest.CopyModel('istdp_synapse', 'istdp', + {'lambda': C, 'mu_plus': r_LTP_LTD, 'mu_minus': tau_m_istdp, 'Wmax': Wmax_istdp, 'Wmin': Wmin_istdp, + 'tau_plus': tau_p_istdp, "weight_recorder": WeightRec[0]}) + + + +recdict = {"to_memory": True, "to_file": True, "withgid": True, "withtime": True, "label": "Spike_Detector"} +spikedetector = nest.Create("spike_detector", 1, params=recdict) +nest.Connect(Pre_neurons, [spikedetector[0]]) +nest.Connect(Post_neurons, [spikedetector[0]]) + + +# Generate input activity on Pre and Post neurons +for i, InputGeni in enumerate(PreGen): + nest.SetStatus([InputGeni], {'spike_times': [1.0, float(i)+9001.0, 20001.0]}) + +for i, InputGeni in enumerate(PostGen): + nest.SetStatus([InputGeni], {'spike_times': [float(i)+1.0, 9001.0]}) + +# Connect the network +nest.Connect(PreGen, Pre_neurons, "one_to_one", {"model": "static_synapse", + "weight": 1000.0, + "delay": 1.0 + }) +nest.Connect(PostGen, Post_neurons, "one_to_one", {"model": "static_synapse", + "weight": 1000.0, + "delay": 1.0 + }) +nest.Connect(Pre_neurons, Post_neurons, "one_to_one", {"model": "istdp", + "weight": 0.0, + "delay": 1.0 + }) + +aux.toc() + +msd = 1000 # master seed +n_vp = nest.GetKernelStatus('total_num_virtual_procs') +msdrange1 = range(msd, msd + n_vp) +pyrngs = [np.random.RandomState(s) for s in msdrange1] +msdrange2 = range(msd + n_vp + 1, msd + 1 + 2 * n_vp) +nest.SetKernelStatus({'grng_seed': msd + n_vp, + 'rng_seeds': msdrange2}) + +print("### SIMULATION STARTS ###") +aux.tic() +nest.Simulate(5000.0) +nest.SetStatus(nest.GetConnections(Pre_neurons,Post_neurons),{'weight':0.0}) +nest.Simulate(15004.0) +aux.toc() + +sys.exit(0) # Everything went fine diff --git a/Tests/MFDCN.dat b/Tests/MFDCN.dat new file mode 100644 index 0000000..edea393 --- /dev/null +++ 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0000000..bf45feb --- /dev/null +++ b/Tests/Remove_Empty.py @@ -0,0 +1,21 @@ +import os +import sys + +print("Removing Empty files") + +if len(sys.argv) > 1: + PathDir = sys.argv[1] + +else: + PathDir = "." + +print("Looking into: " , PathDir) + +for root,dirs,files in os.walk(PathDir): + for name in files: + + filename=os.path.join(root,name) + + if os.stat(filename).st_size==0: + print("Removing ", filename) + os.remove(filename) diff --git a/Tests/auxiliary_functions.py b/Tests/auxiliary_functions.py new file mode 100644 index 0000000..af40f99 --- /dev/null +++ b/Tests/auxiliary_functions.py @@ -0,0 +1,12 @@ +import time + +def tic(): + global startTime_for_tictoc + startTime_for_tictoc = time.time() + +def toc(): + if 'startTime_for_tictoc' in globals(): + tempo = float(time.time()) - float(startTime_for_tictoc) + print("Elapsed time is %.3f seconds" % tempo) + else: + print("Toc: start time not set") diff --git a/Tests/do_tests.sh b/Tests/do_tests.sh new file mode 100755 index 0000000..04f9e6e --- /dev/null +++ b/Tests/do_tests.sh @@ -0,0 +1,126 @@ +#!/bin/bash +echo "Launching Tests for Alberto Module" +rm *.csv +rm *.gdf + +#### CHECK MODELS ##### + +python Check_Models.py &>TestLog.txt +if [ $? = 0 ]; then + echo "Check_Models.py SUCCESS" +else + echo "Check_Models.py FAIL" +fi + +#### CHECK MULTITHREADING ##### + +mpirun -np 1 python Check_MultiThreading.py 1 &>>TestLog.txt +if [ $? = 0 ]; then + echo "Check_MultiThreading.py with 1 Core SUCCESS" +else + echo "Check_MultiThreading.py with 1 Core FAIL" +fi + +mpirun -np 4 python Check_MultiThreading.py 4 &>>TestLog.txt +if [ $? = 0 ]; then + echo "Check_MultiThreading.py with 4 Cores SUCCESS" +else + echo "Check_MultiThreading.py with 4 Cores FAIL" +fi + +python Remove_Empty.py &>>TestLog.txt + +diff -u Weights_1-* Weights_4-* > Diff_Weights.csv + +if [[ -s Diff_Weights.csv ]]; then + echo "Weights with 1 and 4 Cores are different FAIL"; +else + echo "Weights with 1 and 4 Cores are the same SUCCESS"; +fi + +#### CHECK STDP SINEXP ##### + +mpirun -np 1 python Learning_Performance_Test.py 1 &>>TestLog.txt +if [ $? = 0 ]; then + echo "Learning_Performance_Test.py with 1 core SUCCESS" +else + echo "Learning_Performance_Test.py with 1 core FAIL" +fi +python Remove_Empty.py &>>TestLog.txt +mv PFPC-* PFPC1.csv + +mpirun -np 4 python Learning_Performance_Test.py 4 &>>TestLog.txt +if [ $? = 0 ]; then + echo "Learning_Performance_Test.py with 4 Core SUCCESS" +else + echo "Learning_Performance_Test.py with 4 Core FAIL" +fi +python Remove_Empty.py &>>TestLog.txt +cat PFPC-* > PFPC4.csv + +python Compare_with_Ground_Truth1.py &>>TestLog.txt +if [ $? = 0 ]; then + echo "Weights with 1 and 4 Cores are the same SUCCESS" +else + echo "Weights with 1 and 4 Cores are different FAIL" +fi + +#### CHECK STDP COSEXP ##### + +mpirun -np 1 python Learning_Performance_Test2.py 1 &>>TestLog.txt +if [ $? = 0 ]; then + echo "Learning_Performance_Test2.py with 1 core SUCCESS" +else + echo "Learning_Performance_Test2.py with 1 core FAIL" +fi +python Remove_Empty.py &>>TestLog.txt +mv MFDCN-* MFDCN1.csv + +mpirun -np 4 python Learning_Performance_Test2.py 4 &>>TestLog.txt +if [ $? = 0 ]; then + echo "Learning_Performance_Test2.py with 4 Core SUCCESS" +else + echo "Learning_Performance_Test2.py with 4 Core FAIL" +fi +python Remove_Empty.py &>>TestLog.txt +cat MFDCN-* > MFDCN4.csv + +python Compare_with_Ground_Truth2.py &>>TestLog.txt +if [ $? = 0 ]; then + echo "Weights with 1 and 4 Cores are the same SUCCESS" +else + echo "Weights with 1 and 4 Cores are different FAIL" +fi + +#### CHECK iSTDP ##### + +mpirun -np 1 python Learning_Performance_iSTDP.py 1 &>>TestLog.txt +if [ $? = 0 ]; then + echo "Learning_Performance_iSTDP.py with 1 core SUCCESS" +else + echo "Learning_Performance_iSTDP.py with 1 core FAIL" +fi +python Remove_Empty.py &>>TestLog.txt +mv iSTDP-* iSTDP1.csv + +mpirun -np 4 python Learning_Performance_iSTDP.py 4 &>>TestLog.txt +if [ $? = 0 ]; then + echo "Learning_Performance_iSTDP.py with 4 Core SUCCESS" +else + echo "Learning_Performance_iSTDP.py with 4 Core FAIL" +fi +python Remove_Empty.py &>>TestLog.txt +cat iSTDP-* > iSTDP4.csv +rm iSTDP-* + +python Compare_with_Ground_Truth3.py &>>TestLog.txt +if [ $? = 0 ]; then + echo "Weights with 1 and 4 Cores are the same SUCCESS" +else + echo "Weights with 1 and 4 Cores are different FAIL" +fi + +python Remove_Empty.py &>>TestLog.txt + +#### CLEAN-UP THE FOLDER ##### +rm *.csv *.gdf diff --git a/Tests/do_tests_NOMPI.sh b/Tests/do_tests_NOMPI.sh new file mode 100755 index 0000000..985851b --- /dev/null +++ b/Tests/do_tests_NOMPI.sh @@ -0,0 +1,126 @@ +#!/bin/bash +echo "Launching Tests for Alberto Module" +rm *.csv +rm *.gdf + +#### CHECK MODELS ##### + +python3 Check_Models.py &>TestLog.txt +if [ $? = 0 ]; then + echo "Check_Models.py SUCCESS" +else + echo "Check_Models.py FAIL" +fi + +#### CHECK MULTITHREADING ##### + +python3 Check_MultiThreading.py 1 &>>TestLog.txt +if [ $? = 0 ]; then + echo "Check_MultiThreading.py with 1 Core SUCCESS" +else + echo "Check_MultiThreading.py with 1 Core FAIL" +fi + +python3 Check_MultiThreading.py 4 &>>TestLog.txt +if [ $? = 0 ]; then + echo "Check_MultiThreading.py with 4 Cores SUCCESS" +else + echo "Check_MultiThreading.py with 4 Cores FAIL" +fi + +python3 Remove_Empty.py &>>TestLog.txt + +diff -u Weights_1-* Weights_4-* > Diff_Weights.csv + +if [[ -s Diff_Weights.csv ]]; then + echo "Weights with 1 and 4 Cores are different FAIL"; +else + echo "Weights with 1 and 4 Cores are the same SUCCESS"; +fi + +#### CHECK STDP SINEXP ##### + +python3 Learning_Performance_Test.py 1 &>>TestLog.txt +if [ $? = 0 ]; then + echo "Learning_Performance_Test.py with 1 core SUCCESS" +else + echo "Learning_Performance_Test.py with 1 core FAIL" +fi +python3 Remove_Empty.py &>>TestLog.txt +mv PFPC-* PFPC1.csv + +python3 Learning_Performance_Test.py 4 &>>TestLog.txt +if [ $? = 0 ]; then + echo "Learning_Performance_Test.py with 4 Core SUCCESS" +else + echo "Learning_Performance_Test.py with 4 Core FAIL" +fi +python3 Remove_Empty.py &>>TestLog.txt +cat PFPC-* > PFPC4.csv + +python3 Compare_with_Ground_Truth1.py &>>TestLog.txt +if [ $? = 0 ]; then + echo "Weights with 1 and 4 Cores are the same SUCCESS" +else + echo "Weights with 1 and 4 Cores are different FAIL" +fi + +#### CHECK STDP COSEXP ##### + +python3 Learning_Performance_Test2.py 1 &>>TestLog.txt +if [ $? = 0 ]; then + echo "Learning_Performance_Test2.py with 1 core SUCCESS" +else + echo "Learning_Performance_Test2.py with 1 core FAIL" +fi +python3 Remove_Empty.py &>>TestLog.txt +mv MFDCN-* MFDCN1.csv + +python3 Learning_Performance_Test2.py 4 &>>TestLog.txt +if [ $? = 0 ]; then + echo "Learning_Performance_Test2.py with 4 Core SUCCESS" +else + echo "Learning_Performance_Test2.py with 4 Core FAIL" +fi +python3 Remove_Empty.py &>>TestLog.txt +cat MFDCN-* > MFDCN4.csv + +python3 Compare_with_Ground_Truth2.py &>>TestLog.txt +if [ $? = 0 ]; then + echo "Weights with 1 and 4 Cores are the same SUCCESS" +else + echo "Weights with 1 and 4 Cores are different FAIL" +fi + +#### CHECK iSTDP ##### + +python3 Learning_Performance_iSTDP.py 1 &>>TestLog.txt +if [ $? = 0 ]; then + echo "Learning_Performance_iSTDP.py with 1 core SUCCESS" +else + echo "Learning_Performance_iSTDP.py with 1 core FAIL" +fi +python3 Remove_Empty.py &>>TestLog.txt +mv iSTDP-* iSTDP1.csv + +python3 Learning_Performance_iSTDP.py 4 &>>TestLog.txt +if [ $? = 0 ]; then + echo "Learning_Performance_iSTDP.py with 4 Core SUCCESS" +else + echo "Learning_Performance_iSTDP.py with 4 Core FAIL" +fi +python3 Remove_Empty.py &>>TestLog.txt +cat iSTDP-* > iSTDP4.csv +rm iSTDP-* + +python3 Compare_with_Ground_Truth3.py &>>TestLog.txt +if [ $? = 0 ]; then + echo "Weights with 1 and 4 Cores are the same SUCCESS" +else + echo "Weights with 1 and 4 Cores are different FAIL" +fi + +python3 Remove_Empty.py &>>TestLog.txt + +#### CLEAN-UP THE FOLDER ##### +rm *.csv *.gdf diff --git a/Tests/iSTDP.dat b/Tests/iSTDP.dat new 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GNU General Public License as published by + * the Free Software Foundation, either version 2 of the License, or + * (at your option) any later version. + * + * NEST is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with NEST. If not, see . + * + */ + +#include "cerebmodule.h" + +// Generated includes: +#include "config.h" + +// include headers with your own stuff +#include "volume_transmitter_alberto.h" +#include "eglif_cond_alpha_multisyn.h" +#include "stdp_connection_sinexp.h" +#include "stdp_connection_cosexp.h" +#include "stdp_connection_alpha.h" +#include "iSTDP.h" +#include "Sgritta2017.h" + +// Includes from nestkernel: +#include "connection_manager_impl.h" +#include "connector_model_impl.h" +#include "dynamicloader.h" +#include "exceptions.h" +#include "genericmodel.h" +#include "genericmodel_impl.h" +#include "kernel_manager.h" +#include "model.h" +#include "model_manager_impl.h" +#include "nestmodule.h" +#include "target_identifier.h" + +// Includes from sli: +#include "booldatum.h" +#include "integerdatum.h" +#include "sliexceptions.h" +#include "tokenarray.h" + +// -- Interface to dynamic module loader --------------------------------------- + +/* + * There are three scenarios, in which CerebModule can be loaded by NEST: + * + * 1) When loading your module with `Install`, the dynamic module loader must + * be able to find your module. You make the module known to the loader by + * defining an instance of your module class in global scope. (LTX_MODULE is + * defined) This instance must have the name + * + * _LTX_mod + * + * The dynamicloader can then load modulename and search for symbol "mod" in it. + * + * 2) When you link the library dynamically with NEST during compilation, a new + * object has to be created. In the constructor the DynamicLoaderModule will + * register your module. (LINKED_MODULE is defined) + * + * 3) When you link the library statically with NEST during compilation, the + * registration will take place in the file `static_modules.h`, which is + * generated by cmake. + */ +#if defined( LTX_MODULE ) | defined( LINKED_MODULE ) +mynest::CerebModule cerebmodule_LTX_mod; +#endif +// -- DynModule functions ------------------------------------------------------ + +mynest::CerebModule::CerebModule() +{ +#ifdef LINKED_MODULE + // register this module at the dynamic loader + // this is needed to allow for linking in this module at compile time + // all registered modules will be initialized by the main app's dynamic loader + nest::DynamicLoaderModule::registerLinkedModule( this ); +#endif +} + +mynest::CerebModule::~CerebModule() +{ +} + +const std::string +mynest::CerebModule::name( void ) const +{ + return std::string( "Cereb Module" ); // Return name of the module +} + +const std::string +mynest::CerebModule::commandstring( void ) const +{ + // Instruct the interpreter to load cerebmodule-init.sli + return std::string( "(cerebmodule-init) run" ); +} + +//------------------------------------------------------------------------------------- + +void +mynest::CerebModule::init( SLIInterpreter* i ) +{ + /* Register a neuron or device model. + Give node type as template argument and the name as second argument. + */ + nest::kernel().model_manager.register_node_model< mynest::volume_transmitter_alberto >( + "volume_transmitter_alberto" ); + + nest::kernel().model_manager.register_node_model< eglif_cond_alpha_multisyn >( + "eglif_cond_alpha_multisyn" ); + + + /* + Register a synapse type. + Give synapse type as template argument and the name as second argument. + + There are two choices for the template argument: + - nest::TargetIdentifierPtrRport + - nest::TargetIdentifierIndex + The first is the standard and you should usually stick to it. + nest::TargetIdentifierIndex reduces the memory requirement of synapses + even further, but limits the number of available rports. Please see + Kunkel et al, Front Neurofinfom 8:78 (2014), Sec 3.3.2, for details. + */ + nest::kernel() + .model_manager.register_connection_model< STDPAlphaConnection< nest:: + TargetIdentifierPtrRport > >( "stdp_synapse_alpha" ); + + nest::kernel() + .model_manager.register_connection_model< STDPSinExpConnection< nest:: + TargetIdentifierPtrRport > >( "stdp_synapse_sinexp" ); + + nest::kernel() + .model_manager.register_connection_model< STDPCosExpConnection< nest:: + TargetIdentifierPtrRport > >( "stdp_synapse_cosexp" ); + + nest::kernel() + .model_manager.register_connection_model< iSTDP< nest:: + TargetIdentifierPtrRport > >( "istdp_synapse" ); + + nest::kernel() + .model_manager.register_connection_model< Sgritta2017< nest:: + TargetIdentifierPtrRport > >( "sgritta_synapse" ); + +} // CerebModule::init() diff --git a/cerebmodule.h b/cerebmodule.h new file mode 100644 index 0000000..8eb95ac --- /dev/null +++ b/cerebmodule.h @@ -0,0 +1,74 @@ +/* + * cerebmodule.h + * + * This file is part of NEST. + * + * Copyright (C) 2004 The NEST Initiative + * + * NEST is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 2 of the License, or + * (at your option) any later version. + * + * NEST is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with NEST. If not, see . + * + */ + +#ifndef CEREBMODULE_H +#define CEREBMODULE_H + +// Includes from sli: +#include "slifunction.h" +#include "slimodule.h" + +// Put your stuff into your own namespace. +namespace mynest +{ + +/** + * Class defining your model. + * @note For each model, you must define one such class, with a unique name. + */ +class CerebModule : public SLIModule +{ +public: + // Interface functions ------------------------------------------ + + /** + * @note The constructor registers the module with the dynamic loader. + * Initialization proper is performed by the init() method. + */ + CerebModule(); + + /** + * @note The destructor does not do much in modules. + */ + ~CerebModule(); + + /** + * Initialize module. + * @param SLIInterpreter* SLI interpreter + */ + void init( SLIInterpreter* ); + + /** + * Return the name of your model. + */ + const std::string name( void ) const; + + /** + * Return the name of a sli file to execute when cerebmodule is loaded. + * This mechanism can be used to define SLI commands associated with your + * module, in particular, set up type tries for functions you have defined. + */ + const std::string commandstring( void ) const; +}; +} // namespace mynest + +#endif diff --git a/eglif_cond_alpha_multisyn.cpp b/eglif_cond_alpha_multisyn.cpp new file mode 100644 index 0000000..239550d --- /dev/null +++ b/eglif_cond_alpha_multisyn.cpp @@ -0,0 +1,973 @@ +/* generated by template org.nest.nestml.neuron.NeuronClass*/ +/* +* gif_psc_exp_multisynapse_mihalas.cpp +* +* This file is part of NEST. +* +* Copyright (C) 2004 The NEST Initiative +* +* NEST is free software: you can redistribute it and/or modify +* it under the terms of the GNU General Public License as published by +* the Free Software Foundation, either version 2 of the License, or +* (at your option) any later version. +* +* NEST is distributed in the hope that it will be useful, +* but WITHOUT ANY WARRANTY; without even the implied warranty of +* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +* GNU General Public License for more details. +* +* You should have received a copy of the GNU General Public License +* along with NEST. If not, see . +* +*/ + +// C++ includes: +#include + +// Includes from libnestutil: +#include "numerics.h" +#include "stdio.h" +#include + +#include + +// Includes from nestkernel: +#include "exceptions.h" +#include "kernel_manager.h" +#include "universal_data_logger_impl.h" + +// Includes from sli: +#include "dict.h" +#include "dictutils.h" +#include "doubledatum.h" +#include "integerdatum.h" +#include "lockptrdatum.h" + +#include "eglif_cond_alpha_multisyn.h" + +std::vector spikes_times_; + +/* ---------------------------------------------------------------- +* Recordables map +* ---------------------------------------------------------------- */ +nest::RecordablesMap + eglif_cond_alpha_multisyn::recordablesMap_; + +namespace nest { +// Override the create() method with one call to RecordablesMap::insert_() +// for each quantity to be recorded. +template <> void RecordablesMap::create() { + // use standard names whereever you can for consistency! + /* generated by template org.nest.nestml.function.RecordCallback*/ + + + insert_("I_stc1", &eglif_cond_alpha_multisyn::get_I_stc1); + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + insert_("I_stc2", &eglif_cond_alpha_multisyn::get_I_stc2); + + + insert_("V_th", &eglif_cond_alpha_multisyn::get_V_th); + + + //insert_("y_0", &eglif_cond_alpha_multisyn::get_y_0); + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + insert_("V_m", &eglif_cond_alpha_multisyn::get_V_m); + + + insert_("I_gen", &eglif_cond_alpha_multisyn::get_I_gen); + + + insert_("sum_buffer", &eglif_cond_alpha_multisyn::get_sum_buffer); + + + insert_("G1", &eglif_cond_alpha_multisyn::get_G1); + + + insert_("DG1", &eglif_cond_alpha_multisyn::get_DG1); + + + insert_("G2", &eglif_cond_alpha_multisyn::get_G2); + + + insert_("DG2", &eglif_cond_alpha_multisyn::get_DG2); + + + insert_("G3", &eglif_cond_alpha_multisyn::get_G3); + + + insert_("DG3", &eglif_cond_alpha_multisyn::get_DG3); + + + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + //insert_("time", &eglif_cond_alpha_multisyn::get_time); + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the RefractoryCounts with the domain type long + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the r with the domain type long + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the bufferT with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the tot_cur with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the receptors with the domain type long + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the C_m with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the tau_m with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the tau_syn with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the t_ref with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the E_L with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the V_reset with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the a with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the b with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the Vth_inf with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the Vth_reset with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the Vth_init with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the k1 with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the k2 with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the R1 with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the R2 with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the A1 with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the A2 with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the I_e with the domain type double + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the bT_size with the domain type long + + /* generated by template org.nest.nestml.function.RecordCallback*/ + + // ignores the I_tot with the domain type double +} +} + +/* ---------------------------------------------------------------- +* Default constructors defining default parameters and state +* ---------------------------------------------------------------- */ + +eglif_cond_alpha_multisyn::Parameters_::Parameters_() {} + +eglif_cond_alpha_multisyn::State_::State_() {} + +/* ---------------------------------------------------------------- +* Parameter and state extractions and manipulation functions +* ---------------------------------------------------------------- */ + +void eglif_cond_alpha_multisyn::Parameters_::set( + const DictionaryDatum &__d) {} + +void eglif_cond_alpha_multisyn::State_::set(const DictionaryDatum &__d, + const Parameters_ &p) {} + +eglif_cond_alpha_multisyn::Buffers_::Buffers_( + eglif_cond_alpha_multisyn &n) + : logger_(n), s_(0), c_(0), e_(0) {} + +eglif_cond_alpha_multisyn::Buffers_::Buffers_( + const Buffers_ &, eglif_cond_alpha_multisyn &n) + : logger_(n), s_(0), c_(0), e_(0) {} + +/* ---------------------------------------------------------------- +* Default and copy constructor for node +* ---------------------------------------------------------------- */ +// TODO inner components +eglif_cond_alpha_multisyn::eglif_cond_alpha_multisyn() + : Archiving_Node(), P_(), S_(), B_(*this) { + recordablesMap_.create(); + + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + P_.C_m = 250; + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + P_.tau_m = 10; + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + //.resize(V_.receptors, 2); + +/* generated by template org.nest.nestml.function.MemberInitialization*/ + //P_.E_rev.resize(V_.receptors, 0.0); + + P_.tau_syn1 = 2.0; + P_.tau_syn2 = 2.0; + P_.tau_syn3 = 2.0; + + P_.E_rev1 = 0.0; + P_.E_rev2 = 0.0; + P_.E_rev3 = 0.0; + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + P_.t_ref = 2; + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + P_.E_L = ((-70.0)); + + + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + P_.V_reset = get_E_L(); + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + P_.a = 50; // Interval to compute the number of spike for frequency for threshold adaptation [ms] //pow((5), (((-1)))); + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + P_.b = 0.025; //relationship between //pow((10), (((-1)))); + + P_.c = pow((10), (((-1)))); + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + P_.Vth_inf = ((-30.0)); + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + P_.Vth_reset = ((-40.0)); + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + P_.Vth_init = ((-45.0)); + + P_.Vinit = ((-60.0)); + + P_.Vmin = ((-110.0)); + + /* Added for stochasticity*/ + P_.lambda_0 = ((0.001)); // [1/ms] + P_.delta_V = ((0.5)); // [mV] + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + P_.k1 = pow((200), (((-1)))); + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + P_.k2 = pow((20), (((-1)))); + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + P_.R1 = 0; + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + P_.R2init = 1; + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + P_.A1 = 10.0; + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + P_.A2 = ((-0.6)); + + P_.adaptC = 0.0; + + P_.stc2_0 = 0.0; + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + P_.I_e = 0; + + P_.Ie_const = 0; + P_.Ie_sinA = 0; + P_.Ie_sinF = 0; + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + + P_.bT_size = 200; + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + S_.y_[State_::I_stc1] = 0.0; + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + S_.y_[State_::I_stc2] = 0.0; + + + + // S_.y_[State_::y_0] = 0.0; + + // S_.y_[State_::y_1] = 0.0; + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + //S_.y_[State_::V_m] = ((-70.0)); + S_.y_[State_::V_m] = P_.V_reset; + // S_.y_[State_::V_m] = P_.E_L; + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + //S_.y_[State_::V_th] = get_Vth_init(); + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + //S_.y_[State_::time] = 0; + S_.time = 0; + + S_.sto_0 = 0; + + S_.sto_1 = 0; + + + +/* generated by template org.nest.nestml.function.MemberInitialization*/ + + S_.y_[State_::G1] = 0; + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + S_.y_[State_::DG1] = 0; + +/* generated by template org.nest.nestml.function.MemberInitialization*/ + + S_.y_[State_::G2] = 0; + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + S_.y_[State_::DG2] = 0; + +/* generated by template org.nest.nestml.function.MemberInitialization*/ + + S_.y_[State_::G3] = 0; + + /* generated by template org.nest.nestml.function.MemberInitialization*/ + + S_.y_[State_::DG3] = 0; + +} + +eglif_cond_alpha_multisyn::eglif_cond_alpha_multisyn( + const eglif_cond_alpha_multisyn &n) + : Archiving_Node(), P_(n.P_), S_(n.S_), B_(n.B_, *this) {} + +/* ---------------------------------------------------------------- +* Destructors +* ---------------------------------------------------------------- */ + +eglif_cond_alpha_multisyn::~eglif_cond_alpha_multisyn() { + // GSL structs may not have been allocated, so we need to protect destruction + if (B_.s_) + gsl_odeiv_step_free(B_.s_); + if (B_.c_) + gsl_odeiv_control_free(B_.c_); + if (B_.e_) + gsl_odeiv_evolve_free(B_.e_); + +} + +/* ---------------------------------------------------------------- +* Node initialization functions +* ---------------------------------------------------------------- */ + +void eglif_cond_alpha_multisyn::init_state_( + const Node &proto) { // TODO inner components + + const eglif_cond_alpha_multisyn &pr = + downcast(proto); + S_ = pr.S_; +} + +/* generated by template org.nest.nestml.function.GSLDifferentiationFunction*/ +extern "C" inline int +eglif_cond_alpha_multisyn_dynamics(double, const double y[], double f[], + void *pnode) { + + //const double tIe = nest::kernel().simulation_manager.get_time().get_ms(); + + typedef eglif_cond_alpha_multisyn::State_ State_; + // get access to node so we can almost work as in a member function + assert(pnode); + const eglif_cond_alpha_multisyn &node = + *(reinterpret_cast(pnode)); + + // y[] here is---and must be---the state vector supplied by the integrator, + // not the state vector in the node, node.S_.y_[]. + + + // Synaptic current: I_syn = - sum_k g_k (V - E_rev_k). + double I_syn = 0.0; + I_syn += y[ State_::G1] * ( node.get_E_rev1() - y[State_::V_m] ); + I_syn += y[ State_::G2] * ( node.get_E_rev2() - y[State_::V_m] ); + I_syn += y[ State_::G3] * ( node.get_E_rev3() - y[State_::V_m] ); + + + // Total current + double I_tot = y[State_::I_stc1] - y[State_::I_stc2] + node.get_Ie_const() + node.B_.currents_last_value_ + I_syn; + + //node.S_.sto_1; + + // node.get_Ie_sinA() * std::sin(2.0*numerics::pi*node.get_Ie_sinF()*y[State_::time]/1000.0) + + + // Model currents + f[State_::I_stc1] = ((-node.get_k1())) * y[State_::I_stc1]; + f[State_::I_stc2] = ((-node.get_k2())) * y[State_::I_stc2] + node.get_adaptC()*(y[State_::V_m] - node.get_E_L()); + + + f[State_::V_m] = + ((1)) / node.get_tau_m() * (y[State_::V_m] - node.get_E_L()) + + 1 / node.get_C_m() * I_tot ; + + // Conductance dynamics + // Synaptic conductance derivative dG/dt + f[State_::DG1] = -y[State_::DG1] / node.get_tau_syn1(); + f[State_::G1] = y[ State_::DG1] - y[ State_::G1] / node.get_tau_syn1(); + + f[State_::DG2] = -y[State_::DG2] / node.get_tau_syn2(); + f[State_::G2] = y[ State_::DG2] - y[ State_::G2] / node.get_tau_syn2(); + + f[State_::DG3] = -y[State_::DG3] / node.get_tau_syn3(); + f[State_::G3] = y[ State_::DG3] - y[ State_::G3] / node.get_tau_syn3(); + + return GSL_SUCCESS; +} + +void eglif_cond_alpha_multisyn::init_buffers_() { + B_.get_spikes_r1().clear(); // includes resize + B_.get_spikes_r2().clear(); + B_.get_spikes_r3().clear(); + B_.get_currents().clear(); // includes resize + B_.logger_.reset(); // includes resize + Archiving_Node::clear_history(); + + int state_size = State_::STATE_VEC_SIZE; + + if (B_.s_ == 0) + B_.s_ = gsl_odeiv_step_alloc(gsl_odeiv_step_rkf45, State_::STATE_VEC_SIZE); + else + gsl_odeiv_step_reset(B_.s_); + + if (B_.c_ == 0) { + B_.c_ = gsl_odeiv_control_y_new(1e-6, 0.0); + } else { + gsl_odeiv_control_init(B_.c_, 1e-6, 0.0, 1.0, 0.0); + } + + if (B_.e_ == 0) { + B_.e_ = gsl_odeiv_evolve_alloc(State_::STATE_VEC_SIZE); + } else { + gsl_odeiv_evolve_reset(B_.e_); + } + + + B_.sys_.function = eglif_cond_alpha_multisyn_dynamics; + B_.sys_.jacobian = NULL; + B_.sys_.dimension = state_size; + B_.sys_.params = reinterpret_cast(this); +} + +void eglif_cond_alpha_multisyn::calibrate() { + B_.logger_.init(); + + // Per Ie sinusoidal in STO -> not used anymore; now intrinsic in the model + const double h = nest::Time::get_resolution().get_ms(); + const double current_time = nest::kernel().simulation_manager.get_time().get_ms(); + + // scale Hz to ms + const double omega = 2.0 * numerics::pi * P_.Ie_sinF / 1000.0; + + // initial state + S_.sto_0 = P_.Ie_sinA * std::cos( omega * current_time ); + S_.sto_1 = P_.Ie_sinA * std::sin( omega * current_time ); + + // matrix elements + V_.A_00_ = std::cos( omega * h ); + V_.A_01_ = -std::sin( omega * h ); + V_.A_10_ = std::sin( omega * h ); + V_.A_11_ = std::cos( omega * h ); + + /* generated by template org.nest.nestml.function.Calibrate*/ + srand(time(NULL)); + V_.rng_ = nest::kernel().rng_manager.get_rng( get_thread() ); + + V_.RefractoryCounts = + nest::Time(nest::Time::ms((double)P_.t_ref)).get_steps(); + + /* generated by template org.nest.nestml.function.Calibrate*/ + + V_.r = 0; + + V_.receptors = 3; // Number of receptor ports + + V_.V_th = -50.0; + + V_.I_gen = 0.0; + + V_.sum_buffer = 0.0; + + + V_.G0.resize( V_.receptors); + + /* generated by template org.nest.nestml.function.Calibrate*/ + V_.G0[0] = 1.0*numerics::e / P_.tau_syn1; + //std::cout<<"Init G0_1: "<= S_.y_[State_::V_th]) { // Condition for spike generation without stochasticity + /* generated by template org.nest.spl.Block*/ + /* generated by template org.nest.spl.Statement*/ + // + /* generated by template org.nest.spl.SmallStatement*/ + /* generated by template org.nest.spl.Assignment*/ + + if (lambda > 0.0) + { + if ( ((double) rand() / (RAND_MAX)) //V_.rng_->drand() + < -numerics::expm1( -lambda * nest::Time::get_resolution().get_ms() ) ) + { /////////// Spike generation!!!! /////////// + //std::cout<<"spike!"< 0: # Error: Only numeric types can be compared.. Code + // generation was canceled.# if current > 0: # Error: + // The variable current is not defined.. Code generation was canceled. # + // And I suppose I can not define the variable 'current' as it is the + // input to the neuron + /* generated by template org.nest.spl.CompoundStatement*/ + /* generated by template org.nest.spl.IfStatement*/ + + // if (S_.y_[State_::sum_buffer] == 0) { + /* generated by template org.nest.spl.Block*/ + /* generated by template org.nest.spl.Statement*/ + // + /* generated by template org.nest.spl.SmallStatement*/ + /* generated by template org.nest.spl.Assignment*/ + //S_.y_[State_::I_stc1] = 0; + + /* generated by template org.nest.spl.Statement*/ + // + /* generated by template org.nest.spl.SmallStatement*/ + /* generated by template org.nest.spl.Assignment*/ + //S_.y_[State_::I_stc2] = 0; + + // } else { + /* generated by template org.nest.spl.Block*/ + /* generated by template org.nest.spl.Statement*/ + // + /* generated by template org.nest.spl.SmallStatement*/ + /* generated by template org.nest.spl.Assignment*/ + S_.y_[State_::I_stc1] *= P_.R1; + + /* generated by template org.nest.spl.Statement*/ + // + /* generated by template org.nest.spl.SmallStatement*/ + /* generated by template org.nest.spl.Assignment*/ + S_.y_[State_::I_stc1] += P_.A1; + + /* generated by template org.nest.spl.Statement*/ + // + /* generated by template org.nest.spl.SmallStatement*/ + /* generated by template org.nest.spl.Assignment*/ + //S_.y_[State_::I_stc2] *= P_.R2; [Mihalas original model] + //if ((V_.new_slope-V_.old_slope)>0.6){ + V_.R2 = P_.R2init; + // std::cout << S_.y_[State_::time] << std::endl; + //} + //else{ + // V_.R2 = 0.95*V_.R2; + //std::cout << "ok" << std::endl; + // } + + S_.y_[State_::I_stc2] *= V_.R2; + + /* generated by template org.nest.spl.Statement*/ + // + /* generated by template org.nest.spl.SmallStatement*/ + /* generated by template org.nest.spl.Assignment*/ + //S_.y_[State_::I_stc2] += P_.A2*B_.currents_last_value_; + + /* if (S_.y_[State_::sum_buffer] < 0) + { + S_.y_[State_::I_stc2] -= P_.A2; + }else{*/ + S_.y_[State_::I_stc2] += P_.A2; + //} + + //} /* if check buffer correnti end */ + + /* generated by template org.nest.spl.Statement*/ + // + /* generated by template org.nest.spl.CompoundStatement*/ + /* generated by template org.nest.spl.IfStatement*/ + + if (V_.V_th < P_.Vth_reset) { // -> for minimum if (S_.y_[State_::V_th] > P_.Vth_reset) { // -> for maximum threshold + /* generated by template org.nest.spl.Block*/ + /* generated by template org.nest.spl.Statement*/ + // + /* generated by template org.nest.spl.SmallStatement*/ + /* generated by template org.nest.spl.Assignment*/ + V_.V_th = P_.Vth_reset; + + + } /* if check threshold end */ + + /* generated by template org.nest.spl.Statement*/ + // + /* generated by template org.nest.spl.SmallStatement*/ + /* generated by template org.nest.spl.FunctionCall*/ + set_spiketime(nest::Time::step(origin.get_steps() + lag + 1)); + nest::SpikeEvent se; + nest::kernel().event_delivery_manager.send(*this, se, lag); + ; + } /* if (stochasticity condition) end */ + } /* if (lambda > 0) end */ + + // Spikes on 1st receptor + S_.y_[ State_::DG1 ] += B_.spikes_r1_last_value_ * V_.G0[ 0 ]; + // std::cout << "spike time: "< 0); +/* + assert( + ( e.get_rport() > 0 ) && ( ( size_t ) e.get_rport() <= P_.get_receptors() ) ); +*/ + + //std::cout << "porta spike: "<< e.get_rport() << " "; + if (e.get_rport()==1) { + get_spikes_r1().add_value( + e.get_rel_delivery_steps( + nest::kernel().simulation_manager.get_slice_origin()), + e.get_weight() * e.get_multiplicity()); + }else if (e.get_rport()==2){ + get_spikes_r2().add_value( + e.get_rel_delivery_steps( + nest::kernel().simulation_manager.get_slice_origin()), + e.get_weight() * e.get_multiplicity()); + }else{ + get_spikes_r3().add_value( + e.get_rel_delivery_steps( + nest::kernel().simulation_manager.get_slice_origin()), + e.get_weight() * e.get_multiplicity()); + } + +} + +void eglif_cond_alpha_multisyn::handle(nest::CurrentEvent &e) { + assert(e.get_delay_steps() > 0); + + const double current = e.get_current(); + const double weight = e.get_weight(); + + //std::cout<. +* +*/ + +#ifndef EGLIF_COND_ALPHA_MULTISYN +#define EGLIF_COND_ALPHA_MULTISYN +#include "config.h" + +#ifdef HAVE_GSL +#include +#include +#include +// forwards the declaration of the function +extern "C" inline int +eglif_cond_alpha_multisyn_dynamics(double, const double y[], double f[], + void *pnode); +/* +extern "C" inline int +eglif_cond_alpha_multisyn_dynamics(double, const double*, double*, + void *pnode);*/ + +// Includes from nestkernel: +#include "archiving_node.h" +#include "connection.h" +#include "event.h" +#include "nest_types.h" +#include "ring_buffer.h" +#include "universal_data_logger.h" + +// Includes from sli: +#include "dictdatum.h" + +/* BeginDocumentation +Name: eglif_cond_alpha_multisyn . + +// +Name: eglif_cond_alpha_multisyn_nestml - Extended Generalized Leaky +integrate-and-fire neuron model with multiple ports based. Described in [Geminiani et al., Front Neuroinf, 2018]. + +Description (NESTML): + +eglif_cond_alpha_multisyn_nestml from iaf_psc_exp_multisynapse_nestml. + +With respect to first model version, a minimum value of Vm is added here, useful in case of oscillatory solutions + +Sends: SpikeEvent + +Receives: SpikeEvent, CurrentEvent, DataLoggingRequest + +Author: Geminiani Alice and Casellato Claudia, adapted from iaf_psc_exp_multisynapse and iaf_psc_alpha_multisyn and iaf_cond_alpha for the synapses; +Contact: alice.geminiani@polimi.it + +// + +Parameters: + +Remarks: +Empty + +References: +Empty + +Sends: nest::SpikeEvent + +Receives: Spike, Current, DataLoggingRequest + + +SeeAlso: +Empty +*/ +class eglif_cond_alpha_multisyn : public nest::Archiving_Node { +public: + /** + * The constructor is only used to create the model prototype in the model + * manager. + */ + eglif_cond_alpha_multisyn(); + + /** + * The copy constructor is used to create model copies and instances of the + * model. + * @node The copy constructor needs to initialize the parameters and the state. + * Initialization of buffers and interal variables is deferred to + * @c init_buffers_() and @c calibrate(). + */ + eglif_cond_alpha_multisyn(const eglif_cond_alpha_multisyn &); + + /** + * Releases resources. + */ + ~eglif_cond_alpha_multisyn(); + /** + * Import sets of overloaded virtual functions. + * This is necessary to ensure proper overload and overriding resolution. + * @see http://www.gotw.ca/gotw/005.htm. + */ + using nest::Node::handles_test_event; + using nest::Node::handle; + + /** + * Used to validate that we can send nest::SpikeEvent to desired target:port. + */ + nest::port send_test_event(nest::Node &target, nest::rport receptor_type, + nest::synindex, bool); + + /** + * @defgroup mynest_handle Functions handling incoming events. + * We tell nest that we can handle incoming events of various types by + * defining @c handle() and @c connect_sender() for the given event. + * @{ + */ + void handle(nest::SpikeEvent &); //! accept spikes + void handle(nest::CurrentEvent &); //! accept input current + void handle(nest::DataLoggingRequest &); //! allow recording with multimeter + + nest::port handles_test_event(nest::SpikeEvent &, nest::port); + nest::port handles_test_event(nest::CurrentEvent &, nest::port); + nest::port handles_test_event(nest::DataLoggingRequest &, nest::port); + /** @} */ + + // SLI communication functions: + void get_status(DictionaryDatum &) const; + void set_status(const DictionaryDatum &); + + // Generate function header + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_I_stc1() const { return S_.y_[State_::I_stc1]; } + + inline void set_I_stc1(const double v) { S_.y_[State_::I_stc1] = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_I_stc2() const { return S_.y_[State_::I_stc2]; } + + inline void set_I_stc2(const double v) { S_.y_[State_::I_stc2] = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_V_m() const { return S_.y_[State_::V_m]; } + + inline void set_V_m(const double v) { S_.y_[State_::V_m] = v; } + + /* Conductance-based synapses for the 3 receptors*/ + + inline double get_G1() const { return S_.y_[State_::G1]; } + + inline void set_G1(const double v) { S_.y_[State_::G1] = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_DG1() const { return S_.y_[State_::DG1]; } + + inline void set_DG1(const double v) { S_.y_[State_::DG1] = v; } + + + inline double get_G2() const { return S_.y_[State_::G2]; } + + inline void set_G2(const double v) { S_.y_[State_::G2] = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_DG2() const { return S_.y_[State_::DG2]; } + + inline void set_DG2(const double v) { S_.y_[State_::DG2] = v; } + + + inline double get_G3() const { return S_.y_[State_::G3]; } + + inline void set_G3(const double v) { S_.y_[State_::G3] = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_DG3() const { return S_.y_[State_::DG3]; } + + inline void set_DG3(const double v) { S_.y_[State_::DG3] = v; } + + + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_C_m() const { return P_.C_m; } + + inline void set_C_m(const double v) { P_.C_m = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_tau_m() const { return P_.tau_m; } + + inline void set_tau_m(const double v) { P_.tau_m = v; } + + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_tau_syn1() const { return P_.tau_syn1; } + + inline void set_tau_syn1(const double v) { P_.tau_syn1 = v; } + + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + inline double get_E_rev1() const { return P_.E_rev1; } + + inline void set_E_rev1(const double v) { P_.E_rev1 = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_tau_syn2() const { return P_.tau_syn2; } + + inline void set_tau_syn2(const double v) { P_.tau_syn2 = v; } + + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + inline double get_E_rev2() const { return P_.E_rev2; } + + inline void set_E_rev2(const double v) { P_.E_rev2 = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_tau_syn3() const { return P_.tau_syn3; } + + inline void set_tau_syn3(const double v) { P_.tau_syn3 = v; } + + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + inline double get_E_rev3() const { return P_.E_rev3; } + + inline void set_E_rev3(const double v) { P_.E_rev3 = v; } + + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_t_ref() const { return P_.t_ref; } + + inline void set_t_ref(const double v) { P_.t_ref = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_E_L() const { return P_.E_L; } + + inline void set_E_L(const double v) { P_.E_L = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_V_reset() const { return P_.V_reset; } + + inline void set_V_reset(const double v) { P_.V_reset = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_a() const { return P_.a; } + + inline void set_a(const double v) { P_.a = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_b() const { return P_.b; } + + inline void set_b(const double v) { P_.b = v; } + + inline double get_c() const { return P_.c; } + + inline void set_c(const double v) { P_.c = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_Vth_inf() const { return P_.Vth_inf; } + + inline void set_Vth_inf(const double v) { P_.Vth_inf = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_Vth_reset() const { return P_.Vth_reset; } + + inline void set_Vth_reset(const double v) { P_.Vth_reset = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_Vth_init() const { return P_.Vth_init; } + + inline void set_Vth_init(const double v) { P_.Vth_init = v; } + + + inline double get_Vinit() const { return P_.Vinit; } + + inline void set_Vinit(const double v) { P_.Vinit = v; } + + inline double get_Vmin() const { return P_.Vmin; } + + inline void set_Vmin(const double v) { P_.Vmin = v; } + + /* Added for stochasticity*/ + inline double get_lambda_0() const { return P_.lambda_0; } + + inline void set_lambda_0(const double v) { P_.lambda_0 = v; } + + inline double get_delta_V() const { return P_.delta_V; } + + inline void set_delta_V(const double v) { P_.delta_V = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_k1() const { return P_.k1; } + + inline void set_k1(const double v) { P_.k1 = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_k2() const { return P_.k2; } + + inline void set_k2(const double v) { P_.k2 = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_R1() const { return P_.R1; } + + inline void set_R1(const double v) { P_.R1 = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_R2init() const { return P_.R2init; } + + inline void set_R2init(const double v) { P_.R2init = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_A1() const { return P_.A1; } + + inline void set_A1(const double v) { P_.A1 = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_A2() const { return P_.A2; } + + inline void set_A2(const double v) { P_.A2 = v; } + + inline double get_adaptC() const { return P_.adaptC; } + + inline void set_adaptC(const double v) { P_.adaptC = v; } + + inline double get_stc2_0() const { return P_.stc2_0; } + + inline void set_stc2_0(const double v) { P_.stc2_0 = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_I_e() const { return P_.I_e; } + + inline void set_I_e(const double v) { P_.I_e = v; } + + +// Parameters for sinusoidal Ie per STO + inline double get_Ie_const() const { return P_.Ie_const; } + + inline void set_Ie_const(const double v) { P_.Ie_const= v; } + + inline double get_Ie_sinA() const { return P_.Ie_sinA; } + + inline void set_Ie_sinA(const double v) { P_.Ie_sinA = v; } + + inline double get_Ie_sinF() const { return P_.Ie_sinF; } + + inline void set_Ie_sinF(const double v) { P_.Ie_sinF = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline long get_bT_size() const { return P_.bT_size; } + + inline void set_bT_size(const long v) { P_.bT_size = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline long get_receptors() const { return V_.receptors; } + + inline void set_receptors(const long v) { V_.receptors = v; } + + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline long get_RefractoryCounts() const { return V_.RefractoryCounts; } + + inline void set_RefractoryCounts(const long v) { V_.RefractoryCounts = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline long get_r() const { return V_.r; } + + inline void set_r(const long v) { V_.r = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline std::vector get_bufferT() const { return V_.bufferT; } + + inline void set_bufferT(const std::vector v) { V_.bufferT = v; } + + inline double get_V_th() const { return V_.V_th; } + + inline void set_V_th(const double v) { V_.V_th = v; } + + inline double get_I_gen() const { return V_.I_gen; } + + inline void set_I_gen(const double v) { V_.I_gen = v; } + + + inline double get_sum_buffer() const { return V_.sum_buffer; } + + inline void set_sum_buffer(const double v) { V_.sum_buffer = v; } + + + inline double get_omega_() const { return V_.omega_; } + + inline void set_omega_(const double v) { V_.omega_ = v; } + + inline double get_A_00_() const { return V_.A_00_; } + + inline void set_A_00_(const double v) { V_.A_00_ = v; } + + inline double get_A_01_() const { return V_.A_01_; } + + inline void set_A_01_(const double v) { V_.A_01_ = v; } + + inline double get_A_10_() const { return V_.A_10_; } + + inline void set_A_10_(const double v) { V_.A_10_ = v; } + + inline double get_A_11_() const { return V_.A_11_; } + + inline void set_A_11_(const double v) { V_.A_11_ = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_tot_cur() const { return V_.tot_cur; } + + inline void set_tot_cur(const double v) { V_.tot_cur = v; } + + /* Added for R2 update*/ + inline double get_R2() const {return V_.R2; } + + inline double set_R2(const double v) {return V_.R2 = v; } + + inline double get_old_Vm() const { return V_.old_Vm; } + + inline void set_old_Vm(const double v) { V_.old_Vm = v; } + + inline double get_new_Vm() const { return V_.new_Vm; } + + inline void set_old_new_Vm(const double v) { V_.new_Vm = v; } + + inline double get_old_slope() const { return V_.old_slope; } + + inline void set_old_slope(const double v) { V_.old_slope = v; } + + inline double get_new_slope() const { return V_.new_slope; } + + inline void set_new_slope(const double v) { V_.new_slope = v; } + + + inline std::vector get_G0() const { + return V_.G0; + } + + inline void set_G0(const std::vector v) { + V_.G0 = v; + } + + + + inline double get_I_syn() const { return S_.I_syn; } + inline void set_I_syn(const double v) { S_.I_syn = v; } + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + + /* generated by template org.nest.nestml.function.MemberVariableGetterSetter*/ + + inline double get_I_tot() const { return S_.I_tot; } + inline void set_I_tot(const double v) { S_.I_tot = v; } + + inline nest::RingBuffer &get_spikes_r1() { + return B_.get_spikes_r1(); + }; + + inline nest::RingBuffer &get_spikes_r2() { + return B_.get_spikes_r2(); + }; + + inline nest::RingBuffer &get_spikes_r3() { + return B_.get_spikes_r3(); + }; + + inline nest::RingBuffer &get_currents() { return B_.get_currents(); }; + + +protected: + //! Reset parameters and state of neuron. + + //! Reset state of neuron. + void init_state_(const Node &proto); + + //! Reset internal buffers of neuron. + void init_buffers_(); + + //! Initialize auxiliary quantities, leave parameters and state untouched. + void calibrate(); + + //! Take neuron through given time interval + void update(nest::Time const &, const long, const long); + + // The next two classes need to be friends to access the State_ class/member + friend class nest::RecordablesMap; + friend class nest::UniversalDataLogger; + + /** + * Free parameters of the neuron. + * + * + * + * These are the parameters that can be set by the user through @c SetStatus. + * They are initialized from the model prototype when the node is created. + * Parameters do not change during calls to @c update() and are not reset by + * @c ResetNetwork. + * + * @note Parameters_ need neither copy constructor nor @c operator=(), since + * all its members are copied properly by the default copy constructor + * and assignment operator. Important: + * - If Parameters_ contained @c Time members, you need to define the + * assignment operator to recalibrate all members of type @c Time . You + * may also want to define the assignment operator. + * - If Parameters_ contained members that cannot copy themselves, such + * as C-style arrays, you need to define the copy constructor and + * assignment operator to copy those members. + */ + struct Parameters_ { + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double C_m; // + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double tau_m; // + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double tau_syn1; // + + /* Conductance-based synapses*/ + double E_rev1; // + + double tau_syn2; // + + /* Conductance-based synapses*/ + double E_rev2; // + + double tau_syn3; // + + /* Conductance-based synapses*/ + double E_rev3; // + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double t_ref; // + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double E_L; // + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double V_reset; // + + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double a; // + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double b; // + + double c; + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double Vth_inf; // + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double Vth_reset; // + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double Vth_init; // + + double Vinit; // + + double Vmin; // + + /*Added for stochasticity*/ + double lambda_0; + double delta_V; + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double k1; // + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double k2; // + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double R1; // + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double R2init; // + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double A1; // + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double A2; // + + double adaptC; + + double stc2_0; + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double I_e; // + + double Ie_const; + double Ie_sinA; + double Ie_sinF; + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + long bT_size; // + + /** Initialize parameters to their default values. */ + Parameters_(); + + /** Set parameter values from dictionary. */ + void set(const DictionaryDatum &); + + // TODO only for invariants + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_C_m() const { return C_m; } + inline void set_C_m(const double C_m) { this->C_m = C_m; } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_tau_m() const { return tau_m; } + inline void set_tau_m(const double tau_m) { this->tau_m = tau_m; } + + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_tau_syn1() const { return tau_syn1; } + inline void set_tau_syn1(const double tau_syn1) { + this->tau_syn1 = tau_syn1; + } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + inline double get_E_rev1() const { return E_rev1; } + inline void set_E_rev1(const double E_rev1) { + this->E_rev1 = E_rev1; + } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_tau_syn2() const { return tau_syn2; } + inline void set_tau_syn2(const double tau_syn2) { + this->tau_syn2 = tau_syn2; + } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + inline double get_E_rev2() const { return E_rev2; } + inline void set_E_rev2(const double E_rev2) { + this->E_rev2 = E_rev2; + } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_tau_syn3() const { return tau_syn3; } + inline void set_tau_syn3(const double tau_syn3) { + this->tau_syn3 = tau_syn3; + } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + inline double get_E_rev3() const { return E_rev3; } + inline void set_E_rev3(const double E_rev3) { + this->E_rev3 = E_rev3; + } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_t_ref() const { return t_ref; } + inline void set_t_ref(const double t_ref) { this->t_ref = t_ref; } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_E_L() const { return E_L; } + inline void set_E_L(const double E_L) { this->E_L = E_L; } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_V_reset() const { return V_reset; } + inline void set_V_reset(const double V_reset) { this->V_reset = V_reset; } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_a() const { return a; } + inline void set_a(const double a) { this->a = a; } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_b() const { return b; } + inline void set_b(const double b) { this->b = b; } + + inline double get_c() const { return c; } + inline void set_c(const double c) { this->c = c; } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_Vth_inf() const { return Vth_inf; } + inline void set_Vth_inf(const double Vth_inf) { this->Vth_inf = Vth_inf; } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_Vth_reset() const { return Vth_reset; } + inline void set_Vth_reset(const double Vth_reset) { + this->Vth_reset = Vth_reset; + } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_Vth_init() const { return Vth_init; } + inline void set_Vth_init(const double Vth_init) { + this->Vth_init = Vth_init; + } + + + inline double get_Vinit() const { return Vinit; } + inline void set_Vinit(const double Vinit) { + this->Vinit = Vinit; + } + + inline double get_Vmin() const { return Vmin; } + inline void set_Vmin(const double Vmin) { + this->Vmin = Vmin; + } + + + /* Added for stochasticity*/ + inline double get_lambda_0() const { return lambda_0; } + inline void set_lambda_0(const double lambda_0) { + this->lambda_0 = lambda_0; + } + + inline double get_delta_V() const { return delta_V; } + inline void set_delta_V(const double delta_V) { + this->delta_V = delta_V; + } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_k1() const { return k1; } + inline void set_k1(const double k1) { this->k1 = k1; } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_k2() const { return k2; } + inline void set_k2(const double k2) { this->k2 = k2; } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_R1() const { return R1; } + inline void set_R1(const double R1) { this->R1 = R1; } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_R2init() const { return R2init; } + inline void set_R2init(const double R2init) { this->R2init = R2init; } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_A1() const { return A1; } + inline void set_A1(const double A1) { this->A1 = A1; } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_A2() const { return A2; } + inline void set_A2(const double A2) { this->A2 = A2; } + + inline double get_adaptC() const { return adaptC; } + inline void set_adaptC(const double adaptC) { this->adaptC = adaptC; } + + inline double get_stc2_0() const { return stc2_0; } + inline void set_stc2_0(const double stc2_0) { this->stc2_0 = stc2_0; } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline double get_I_e() const { return I_e; } + inline void set_I_e(const double I_e) { this->I_e = I_e; } + + inline double get_Ie_const() const { return Ie_const; } + inline void set_Ie_const(const double Ie_const) { this->Ie_const = Ie_const; } + + inline double get_Ie_sinA() const { return Ie_sinA; } + inline void set_Ie_sinA(const double Ie_sinA) { this->Ie_sinA = Ie_sinA; } + + inline double get_Ie_sinF() const { return Ie_sinF; } + inline void set_Ie_sinF(const double Ie_sinF) { this->Ie_sinF = Ie_sinF; } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline long get_bT_size() const { return bT_size; } + inline void set_bT_size(const long bT_size) { this->bT_size = bT_size; } + }; + + /** + * Dynamic state of the neuron. + * + * + * + * These are the state variables that are advanced in time by calls to + * @c update(). In many models, some or all of them can be set by the user + * through @c SetStatus. The state variables are initialized from the model + * prototype when the node is created. State variables are reset by @c + * ResetNetwork. + * + * @note State_ need neither copy constructor nor @c operator=(), since + * all its members are copied properly by the default copy constructor + * and assignment operator. Important: + * - If State_ contained @c Time members, you need to define the + * assignment operator to recalibrate all members of type @c Time . You + * may also want to define the assignment operator. + * - If State_ contained members that cannot copy themselves, such + * as C-style arrays, you need to define the copy constructor and + * assignment operator to copy those members. + */ + + + + struct State_ { + /** + * Enumeration identifying elements in state vector State_::y_. + * This enum identifies the elements of the vector. It must be public to be + * accessible from the iteration function. The last two elements of this + * enum (DG, G) will be repeated + * n times at the end of the state vector State_::y_ with n being the number + * of synapses. + */ + //! Symbolic indices to the elements of the state vector y_ + enum StateVecElems { + V_m, + I_stc1, + I_stc2, + G1, + DG1, + G2, + DG2, + G3, + DG3, + STATE_VEC_SIZE // This is the minimum state vector size + }; + //! state vector, must be C-array for GSL solver + + double y_[STATE_VEC_SIZE];// - an array of all the state variables undergoing + + double time; + + double I_syn; // + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double I_tot; // + + double sto_0; + + double sto_1; + + State_(); + + /** + * Set state values from dictionary. + */ + void set(const DictionaryDatum &, const Parameters_ &); + }; + + /** + * Internal variables of the neuron. + * + * + * + * These variables must be initialized by @c calibrate, which is called before + * the first call to @c update() upon each call to @c Simulate. + * @node Variables_ needs neither constructor, copy constructor or assignment + * operator, + * since it is initialized by @c calibrate(). If Variables_ has members + * that + * cannot destroy themselves, Variables_ will need a destructor. + */ + struct Variables_ { + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + librandom::RngPtr rng_; // random number generator of my own thread + + long RefractoryCounts; // + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + long r; // + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + long receptors; // Number of receptors + + + std::vector G0; // + + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + std::vector bufferT; // + + /* generated by template org.nest.nestml.function.MemberDeclaration*/ + + double tot_cur; // + + double V_th; + + double I_gen; // To monitor external generator current + + double sum_buffer; + + // For STO + double omega_; //!< Angelfrequency i rad/s + + // The exact integration matrix + double A_00_; + double A_01_; + double A_10_; + double A_11_; + + + // Added for R2 update + double R2; + double old_Vm; + double new_Vm; + double old_slope; // + double new_slope; + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline long get_RefractoryCounts() const { return RefractoryCounts; } + inline void set_RefractoryCounts(const long RefractoryCounts) { + this->RefractoryCounts = RefractoryCounts; + } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline long get_r() const { return r; } + inline void set_r(const long r) { this->r = r; } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline long get_receptors() const{return receptors; } + inline void set_receptors(const long receptors) { + this->receptors = receptors; + } + + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline std::vector get_G0() const { return G0; } + inline void set_G0(const std::vector G0) { + this->G0 = G0; + } + + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + + inline std::vector get_bufferT() const { return bufferT; } + inline void set_bufferT(const std::vector bufferT) { + this->bufferT = bufferT; + } + + inline double get_V_th() const { return V_th; } + inline void set_V_th(const double V_th) { this->V_th = V_th; } + + inline double get_I_gen() const { return I_gen; } + inline void set_I_gen(const double I_gen) { this->I_gen = I_gen; } + + inline double get_sum_buffer() const { return sum_buffer; } + inline void set_sum_buffer(const double sum_buffer) { this->sum_buffer = sum_buffer; } + + + inline double get_omega_() const { return omega_; } + inline void set_omega_(const double omega_) { this->omega_ = omega_; } + + inline double get_A_00_() const { return A_00_; } + inline void set_A_00_(const double A_00_) { this->A_00_ = A_00_; } + + inline double get_A_01_() const { return A_01_; } + inline void set_A_01_(const double A_01_) { this->A_01_ = A_01_; } + + inline double get_A_10_() const { return A_10_; } + inline void set_A_10_(const double A_10_) { this->A_10_ = A_10_; } + + inline double get_A_11_() const { return A_11_; } + inline void set_A_11_(const double A_11_) { this->A_11_ = A_11_; } + + /* generated by template org.nest.nestml.function.StructGetterSetter*/ + inline double get_tot_cur() const { return tot_cur; } + inline void set_tot_cur(const double tot_cur) { this->tot_cur = tot_cur; } + + inline double get_R2() const { return R2; } + inline void set_R2(const double R2) { this->R2 = R2; } + + inline double get_old_Vm() const { return old_Vm; } + inline void set_old_Vm(const double old_Vm) { this->old_Vm = old_Vm; } + + inline double get_new_Vm() const { return new_Vm; } + inline void set_new_Vm(const double new_Vm) { this->new_Vm = new_Vm; } + + inline double get_old_slope() const { return old_slope; } + inline void set_old_slope(const double old_slope) { this->old_slope = old_slope; } + + inline double get_new_slope() const { return new_slope; } + inline void set_new_slope(const double new_slope) { this->new_slope = new_slope; } + + }; + + /** + * Buffers of the neuron. + * Ususally buffers for incoming spikes and data logged for analog recorders. + * Buffers must be initialized by @c init_buffers_(), which is called before + * @c calibrate() on the first call to @c Simulate after the start of NEST, + * ResetKernel or ResetNetwork. + * @node Buffers_ needs neither constructor, copy constructor or assignment + * operator, + * since it is initialized by @c init_nodes_(). If Buffers_ has members + * that + * cannot destroy themselves, Buffers_ will need a destructor. + */ + struct Buffers_ { + Buffers_(eglif_cond_alpha_multisyn &); + Buffers_(const Buffers_ &, eglif_cond_alpha_multisyn &); + + inline nest::RingBuffer &get_spikes_r1() { return spikes_r1; } + nest::RingBuffer spikes_r1; + //!< Buffer incoming Buffers through delay, as sum + ; + double spikes_r1_last_value_; + + inline nest::RingBuffer &get_spikes_r2() { return spikes_r2; } + nest::RingBuffer spikes_r2; + //!< Buffer incoming Buffers through delay, as sum + ; + double spikes_r2_last_value_; + + inline nest::RingBuffer &get_spikes_r3() { return spikes_r3; } + nest::RingBuffer spikes_r3; + //!< Buffer incoming Buffers through delay, as sum + ; + double spikes_r3_last_value_; + + inline nest::RingBuffer &get_currents() { return currents; } + nest::RingBuffer currents; + //!< Buffer incoming Buffers through delay, as sum + ; + double currents_last_value_; + + /** Logger for all analog data */ + nest::UniversalDataLogger logger_; + + std::vector receptor_types_; + + /* GSL ODE stuff */ + gsl_odeiv_step *s_; //!< stepping function + gsl_odeiv_control *c_; //!< adaptive stepsize control function + gsl_odeiv_evolve *e_; //!< evolution function + gsl_odeiv_system sys_; //!< struct describing system + }; + +private: + /** + * @defgroup pif_members Member variables of neuron model. + * Each model neuron should have precisely the following four data members, + * which are one instance each of the parameters, state, buffers and variables + * structures. Experience indicates that the state and variables member should + * be next to each other to achieve good efficiency (caching). + * @note Devices require one additional data member, an instance of the @c + * Device + * child class they belong to. + * @{ + */ + Parameters_ P_; //!< Free parameters. + State_ S_; //!< Dynamic state. + Variables_ V_; //!< Internal Variables + Buffers_ B_; //!< Buffers. + + //! Mapping of recordables names to access functions + static nest::RecordablesMap recordablesMap_; + + friend int eglif_cond_alpha_multisyn_dynamics(double, const double y[], + double f[], void *pnode); + // friend int eglif_cond_alpha_multisyn_dynamics(double, const double*, + // double*, void *pnode); + + /** @} */ +}; /* neuron eglif_cond_alpha_multisyn */ + +inline nest::port eglif_cond_alpha_multisyn::send_test_event( + nest::Node &target, nest::rport receptor_type, nest::synindex, bool) { + // You should usually not change the code in this function. + // It confirms that the target of connection @c c accepts @c nest::SpikeEvent + // on + // the given @c receptor_type. + nest::SpikeEvent e; + e.set_sender(*this); + + return target.handles_test_event(e, receptor_type); +} + +// Questa funzione non c'è nell'AEIF cond alpha multisyn +inline nest::port +eglif_cond_alpha_multisyn::handles_test_event(nest::SpikeEvent &, + nest::port receptor_type) { + + if (receptor_type <= 0 || + receptor_type > 3 ){ //static_cast(get_receptors())) { + // TODO refactor me. The code assumes that there is only one. Check by coco. + std::cout<(__d, "C_m", get_C_m()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "tau_m", get_tau_m()); + + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "tau_syn1", get_tau_syn1()); + +/* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "E_rev1", get_E_rev1()); + + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "tau_syn2", get_tau_syn2()); + +/* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "E_rev2", get_E_rev2()); + + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "tau_syn3", get_tau_syn3()); + +/* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "E_rev3", get_E_rev3()); + + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "t_ref", get_t_ref()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "E_L", get_E_L()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "V_reset", get_V_reset()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "a", get_a()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "b", get_b()); + + def(__d, "c", get_c()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "Vth_inf", get_Vth_inf()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "Vth_reset", get_Vth_reset()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "Vth_init", get_Vth_init()); + + def(__d, "Vinit", get_Vinit()); + + def(__d, "Vmin", get_Vmin()); + + /* Added for stochasticity*/ + def(__d, "lambda_0", get_lambda_0()); + + def(__d, "delta_V", get_delta_V()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "k1", get_k1()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "k2", get_k2()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "R1", get_R1()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "R2init", get_R2init()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "A1", get_A1()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "A2", get_A2()); + + def(__d, "adaptC", get_adaptC()); + + def(__d, "stc2_0", get_stc2_0()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "I_e", get_I_e()); + + def(__d, "Ie_const", get_Ie_const()); + def(__d, "Ie_sinA", get_Ie_sinA()); + def(__d, "Ie_sinF", get_Ie_sinF()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "bT_size", get_bT_size()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "I_stc1", get_I_stc1()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "I_stc2", get_I_stc2()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "V_m", get_V_m()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + def(__d, "G1", get_G1()); + + def(__d, "DG1", get_DG1()); + + def(__d, "G2", get_G2()); + + def(__d, "DG2", get_DG2()); + + def(__d, "G3", get_G3()); + + def(__d, "DG3", get_DG3()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + //def(__d, "time", get_time()); + + /* generated by template org.nest.nestml.function.WriteInDictionary*/ + + + (*__d)[nest::names::recordables] = recordablesMap_.get_list(); +} + +inline void +eglif_cond_alpha_multisyn::set_status(const DictionaryDatum &__d) { + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_C_m; + if (updateValue(__d, "C_m", tmp_C_m)) { + set_C_m(tmp_C_m); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_tau_m; + if (updateValue(__d, "tau_m", tmp_tau_m)) { + set_tau_m(tmp_tau_m); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_tau_syn1; + if (updateValue(__d, "tau_syn1", tmp_tau_syn1)) { + set_tau_syn1(tmp_tau_syn1); + } + + +/* generated by template org.nest.nestml.function.ReadFromDictionary*/ + double tmp_E_rev1; + if (updateValue(__d, "E_rev1", tmp_E_rev1)) { + set_E_rev1(tmp_E_rev1); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_tau_syn2; + if (updateValue(__d, "tau_syn2", tmp_tau_syn2)) { + set_tau_syn2(tmp_tau_syn2); + } + + +/* generated by template org.nest.nestml.function.ReadFromDictionary*/ + double tmp_E_rev2; + if (updateValue(__d, "E_rev2", tmp_E_rev2)) { + set_E_rev2(tmp_E_rev2); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_tau_syn3; + if (updateValue(__d, "tau_syn3", tmp_tau_syn3)) { + set_tau_syn3(tmp_tau_syn3); + } + + +/* generated by template org.nest.nestml.function.ReadFromDictionary*/ + double tmp_E_rev3; + if (updateValue(__d, "E_rev3", tmp_E_rev3)) { + set_E_rev3(tmp_E_rev3); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_t_ref; + if (updateValue(__d, "t_ref", tmp_t_ref)) { + set_t_ref(tmp_t_ref); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_E_L; + if (updateValue(__d, "E_L", tmp_E_L)) { + set_E_L(tmp_E_L); + } + + + + + double tmp_V_reset; + if (updateValue(__d, "V_reset", tmp_V_reset)) { + set_V_reset(tmp_V_reset); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_a; + if (updateValue(__d, "a", tmp_a)) { + set_a(tmp_a); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_b; + if (updateValue(__d, "b", tmp_b)) { + set_b(tmp_b); + } + + double tmp_c; + if (updateValue(__d, "c", tmp_c)) { + set_c(tmp_c); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_Vth_inf; + if (updateValue(__d, "Vth_inf", tmp_Vth_inf)) { + set_Vth_inf(tmp_Vth_inf); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_Vth_reset; + if (updateValue(__d, "Vth_reset", tmp_Vth_reset)) { + set_Vth_reset(tmp_Vth_reset); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_Vth_init; + if (updateValue(__d, "Vth_init", tmp_Vth_init)) { + set_Vth_init(tmp_Vth_init); + } + + + double tmp_Vinit; + if (updateValue(__d, "Vinit", tmp_Vinit)) { + set_Vinit(tmp_Vinit); + } + + double tmp_Vmin; + if (updateValue(__d, "Vmin", tmp_Vmin)) { + set_Vmin(tmp_Vmin); + } + + + /*Added for stochasticity*/ + double tmp_lambda_0; + if (updateValue(__d, "lambda_0", tmp_lambda_0)) { + set_lambda_0(tmp_lambda_0); + } + + double tmp_delta_V; + if (updateValue(__d, "delta_V", tmp_delta_V)) { + set_delta_V(tmp_delta_V); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_k1; + if (updateValue(__d, "k1", tmp_k1)) { + set_k1(tmp_k1); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_k2; + if (updateValue(__d, "k2", tmp_k2)) { + set_k2(tmp_k2); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_R1; + if (updateValue(__d, "R1", tmp_R1)) { + set_R1(tmp_R1); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_R2init; + if (updateValue(__d, "R2init", tmp_R2init)) { + set_R2init(tmp_R2init); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_A1; + if (updateValue(__d, "A1", tmp_A1)) { + set_A1(tmp_A1); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_A2; + if (updateValue(__d, "A2", tmp_A2)) { + set_A2(tmp_A2); + } + + double tmp_adaptC; + if (updateValue(__d, "adaptC", tmp_adaptC)) { + set_adaptC(tmp_adaptC); + } + + double tmp_stc2_0; + if (updateValue(__d, "stc2_0", tmp_stc2_0)) { + set_stc2_0(tmp_stc2_0); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_I_e; + if (updateValue(__d, "I_e", tmp_I_e)) { + set_I_e(tmp_I_e); + } + + double tmp_Ie_const; + if (updateValue(__d, "Ie_const", tmp_Ie_const)) { + set_Ie_const(tmp_Ie_const); + } + + double tmp_Ie_sinA; + if (updateValue(__d, "Ie_sinA", tmp_Ie_sinA)) { + set_Ie_sinA(tmp_Ie_sinA); + } + + double tmp_Ie_sinF; + if (updateValue(__d, "Ie_sinF", tmp_Ie_sinF)) { + set_Ie_sinF(tmp_Ie_sinF); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + long tmp_bT_size; + if (updateValue(__d, "bT_size", tmp_bT_size)) { + set_bT_size(tmp_bT_size); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_I_stc1; + if (updateValue(__d, "I_stc1", tmp_I_stc1)) { + set_I_stc1(tmp_I_stc1); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_I_stc2; + if (updateValue(__d, "I_stc2", tmp_I_stc2)) { + set_I_stc2(tmp_I_stc2); + } + + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ + + double tmp_V_m; + if (updateValue(__d, "V_m", tmp_V_m)) { + set_V_m(tmp_V_m); + } + + + double tmp_G1; + if (updateValue(__d, "G1", tmp_G1)) { + set_G1(tmp_G1); + } + + double tmp_DG1; + if (updateValue(__d, "DG1", tmp_DG1)) { + set_DG1(tmp_DG1); + } + + double tmp_G2; + if (updateValue(__d, "G2", tmp_G2)) { + set_G2(tmp_G2); + } + + double tmp_DG2; + if (updateValue(__d, "DG2", tmp_DG2)) { + set_DG2(tmp_DG2); + } + + double tmp_G3; + if (updateValue(__d, "G3", tmp_G3)) { + set_G3(tmp_G3); + } + + double tmp_DG3; + if (updateValue(__d, "DG3", tmp_DG3)) { + set_DG3(tmp_DG3); + } + + /* generated by template org.nest.nestml.function.ReadFromDictionary*/ +/* + double tmp_time; + if (updateValue(__d, "time", tmp_time)) { + set_time(tmp_time); + } +*/ + + // We now know that (ptmp, stmp) are consistent. We do not + // write them back to (P_, S_) before we are also sure that + // the properties to be set in the parent class are internally + // consistent. + Archiving_Node::set_status(__d); + + // if we get here, temporaries contain consistent set of properties + // P_ = ptmp; + // S_ = stmp; +}; + +#endif /* #ifndef EGLIF_COND_ALPHA_MULTISYN */ +#endif /* HAVE GSL */ diff --git a/iSTDP.h b/iSTDP.h new file mode 100644 index 0000000..9181f2c --- /dev/null +++ b/iSTDP.h @@ -0,0 +1,375 @@ +/* + * stdp_connection.h + * + * This file is part of NEST. + * + * Copyright (C) 2004 The NEST Initiative + * + * NEST is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 2 of the License, or + * (at your option) any later version. + * + * NEST is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with NEST. If not, see . + * + */ + +#ifndef iSTDP_H +#define iSTDP_H + +/* BeginDocumentation + Name: stdp_synapse - Synapse type for spike-timing dependent + plasticity. + + Description: + stdp_synapse is a connector to create synapses with spike time + dependent plasticity (as defined in [1]). Here the weight dependence + exponent can be set separately for potentiation and depression. + + Examples: + multiplicative STDP [2] mu_plus = mu_minus = 1.0 + additive STDP [3] mu_plus = mu_minus = 0.0 + Guetig STDP [1] mu_plus = mu_minus = [0.0,1.0] + van Rossum STDP [4] mu_plus = 0.0 mu_minus = 1.0 + + Parameters: + tau_plus double - Time constant of STDP window, potentiation in ms + (tau_minus defined in post-synaptic neuron) + lambda double - Step size + alpha double - Asymmetry parameter (scales depressing increments as + alpha*lambda) + mu_plus double - Weight dependence exponent, potentiation + mu_minus double - Weight dependence exponent, depression + Wmax double - Maximum allowed weight + + Transmits: SpikeEvent + + References: + [1] Guetig et al. (2003) Learning Input Correlations through Nonlinear + Temporally Asymmetric Hebbian Plasticity. Journal of Neuroscience + + [2] Rubin, J., Lee, D. and Sompolinsky, H. (2001). Equilibrium + properties of temporally asymmetric Hebbian plasticity, PRL + 86,364-367 + + [3] Song, S., Miller, K. D. and Abbott, L. F. (2000). Competitive + Hebbian learning through spike-timing-dependent synaptic + plasticity,Nature Neuroscience 3:9,919--926 + + [4] van Rossum, M. C. W., Bi, G-Q and Turrigiano, G. G. (2000). + Stable Hebbian learning from spike timing-dependent + plasticity, Journal of Neuroscience, 20:23,8812--8821 + + FirstVersion: March 2006 + Author: Moritz Helias, Abigail Morrison + Adapted by: Philipp Weidel + SeeAlso: synapsedict, tsodyks_synapse, static_synapse +*/ + +// C++ includes: +#include + +// Includes from nestkernel: +#include "common_synapse_properties.h" +#include "connection.h" +#include "connector_model.h" +#include "event.h" + +// Includes from sli: +#include "dictdatum.h" +#include "dictutils.h" + + +namespace mynest +{ + + +// connections are templates of target identifier type (used for pointer / +// target index addressing) derived from generic connection template +template < typename targetidentifierT > +class iSTDP : public nest ::Connection< targetidentifierT > +{ + +public: + typedef nest::CommonSynapseProperties CommonPropertiesType; + typedef nest::Connection< targetidentifierT > ConnectionBase; + + /** + * Default Constructor. + * Sets default values for all parameters. Needed by GenericConnectorModel. + */ + iSTDP(); + + + /** + * Copy constructor. + * Needs to be defined properly in order for GenericConnector to work. + */ + iSTDP( const iSTDP& ); + + // Explicitly declare all methods inherited from the dependent base + // ConnectionBase. This avoids explicit name prefixes in all places these + // functions are used. Since ConnectionBase depends on the template parameter, + // they are not automatically found in the base class. + using ConnectionBase::get_delay_steps; + using ConnectionBase::get_delay; + using ConnectionBase::get_rport; + using ConnectionBase::get_target; + + /** + * Get all properties of this connection and put them into a dictionary. + */ + void get_status( DictionaryDatum& d ) const; + + /** + * Set properties of this connection from the values given in dictionary. + */ + void set_status( const DictionaryDatum& d, nest::ConnectorModel& cm ); + + /** + * Send an event to the receiver of this connection. + * \param e The event to send + * \param t_lastspike Point in time of last spike sent. + * \param cp common properties of all synapses (empty). + */ + void send( nest::Event& e, + nest::thread t, + const nest::CommonSynapseProperties& cp ); + + + class ConnTestDummyNode : public nest::ConnTestDummyNodeBase + { + public: + // Ensure proper overriding of overloaded virtual functions. + // Return values from functions are ignored. + using nest::ConnTestDummyNodeBase::handles_test_event; + nest::port + handles_test_event( nest::SpikeEvent&, nest::rport ) + { + return nest::invalid_port_; + } + }; + + void + check_connection( nest::Node& s, + nest::Node& t, + nest::rport receptor_type, + const CommonPropertiesType& ) + { + ConnTestDummyNode dummy_target; + + ConnectionBase::check_connection_( dummy_target, s, t, receptor_type ); + + t.register_stdp_connection( t_lastspike_ - get_delay(), get_delay() ); + } + + void + set_weight( double w ) + { + weight_ = w; + } + +private: + double + calculate_k_( double dt ) + { + double k = Wmax_ * 0.03 *std::exp( - 1.0 * ( std::abs(dt) / tau_plus_)) * (1 + cos(2*(dt)/tau_plus_)) -lambda_ * Wmax_ * 0.03 * mu_plus_ * std::exp( - 1.0 * (std::abs (dt) / mu_minus_)) * (1 - cos(2*(dt)/mu_minus_)); + // std::cout << cos(2*(dt)/195.6) << std::endl; + //std::cout << cos(2*(dt)/125) << std::endl; + return k; + } + double + facilitate_( double w, double kplus ) + { + double norm_w; + double norm_w1 = 0.5 * kplus; + if ( w >= 0 ) + { + norm_w = norm_w1 + w; + } + if ( w < 0 ) + { + norm_w = norm_w1 + w; + } + + //std::cout << norm_w1<< std::endl; + //std::cout << kplus << std::endl; + + return norm_w; + } + + // data members of each connection + double weight_; + double tau_plus_; + double lambda_; + double alpha_; + double mu_plus_; + double mu_minus_; + double Wmax_; + double Kplus_; + double Wmin_; + double t_lastspike_; +}; + + +/** + * Send an event to the receiver of this connection. + * \param e The event to send + * \param t The thread on which this connection is stored. + * \param t_lastspike_ Time point of last spike emitted + * \param cp Common properties object, containing the stdp parameters. + */ +template < typename targetidentifierT > +inline void +iSTDP< targetidentifierT >::send( nest::Event& e, + nest::thread t, + const nest::CommonSynapseProperties& ) +{ + // synapse STDP depressing/facilitation dynamics + double t_spike = e.get_stamp().get_ms(); + + // use accessor functions (inherited from Connection< >) to obtain delay and + // target + nest::Node* target = get_target( t ); + double dendritic_delay = get_delay(); + + // get spike history in relevant range (t1, t2] from post-synaptic neuron + std::deque< nest::histentry >::iterator start; + std::deque< nest::histentry >::iterator finish; + + + // For a new synapse, t_lastspike_ contains the point in time of the last + // spike. So we initially read the + // history(t_last_spike - dendritic_delay, ..., T_spike-dendritic_delay] + // which increases the access counter for these entries. + // At registration, all entries' access counters of + // history[0, ..., t_last_spike - dendritic_delay] have been + // incremented by Archiving_Node::register_stdp_connection(). See bug #218 for + // details. + target->get_history( + t_lastspike_ - dendritic_delay, t_spike - dendritic_delay, &start, &finish ); + + // facilitation due to post-synaptic spikes since last pre-synaptic spike + double dtp_; + double dtn_; + while ( start != finish ) + { + //std::cout << start->t_ << "\t"<< t_lastspike_ << "\t" << t_spike << std::endl; + dtp_ = t_spike - ( start -> t_ ); + Kplus_ = calculate_k_( dtp_ ); + // std::cout << Kplus_ << std::endl; + weight_ = facilitate_( weight_, Kplus_ ); + + if( t_lastspike_ > 0 ) + { + dtn_ = ( start -> t_ ) - t_lastspike_; + Kplus_ = calculate_k_( dtn_ ); + // std::cout << start ->t_<< std::endl; + weight_ = facilitate_( weight_, Kplus_ ); + } + ++start; + } + + + e.set_receiver( *target ); + if ( weight_ < Wmin_ ) + { + weight_ = Wmin_; + } + if ( weight_ > Wmax_ ) + { + weight_ = Wmax_; + } + e.set_weight( weight_ ); + // use accessor functions (inherited from Connection< >) to obtain delay in + // steps and rport + e.set_delay_steps( get_delay_steps() ); + e.set_rport( get_rport() ); + e(); + + t_lastspike_ = t_spike; + +} + + +template < typename targetidentifierT > +iSTDP< targetidentifierT >::iSTDP() + : ConnectionBase() + , weight_( 1.0 ) + , tau_plus_( 125.0 ) + , lambda_( 0.01 ) + , alpha_( 1.0 ) + , mu_plus_( 1.0 ) + , mu_minus_( 1.0 ) + , Wmax_( 100.0 ) + , Kplus_( 0.0 ) + , Wmin_(-100.0) + , t_lastspike_( 0.0 ) +{ +} + +template < typename targetidentifierT > +iSTDP< targetidentifierT >::iSTDP( + const iSTDP< targetidentifierT >& rhs ) + : ConnectionBase( rhs ) + , weight_( rhs.weight_ ) + , tau_plus_( rhs.tau_plus_ ) + , lambda_( rhs.lambda_ ) + , alpha_( rhs.alpha_ ) + , mu_plus_( rhs.mu_plus_ ) + , mu_minus_( rhs.mu_minus_ ) + , Wmax_( rhs.Wmax_ ) + , Kplus_( rhs.Kplus_ ) + , Wmin_( rhs.Wmin_ ) + , t_lastspike_( rhs.t_lastspike_ ) +{ +} + +template < typename targetidentifierT > +void +iSTDP< targetidentifierT >::get_status( DictionaryDatum& d ) const +{ + ConnectionBase::get_status( d ); + def< double >( d, nest::names::weight, weight_ ); + def< double >( d, nest::names::tau_plus, tau_plus_ ); + def< double >( d, nest::names::lambda, lambda_ ); + def< double >( d, nest::names::alpha, alpha_ ); + def< double >( d, nest::names::mu_plus, mu_plus_ ); + def< double >( d, nest::names::mu_minus, mu_minus_ ); + def< double >( d, nest::names::Wmax, Wmax_ ); + def< double >( d, nest::names::Wmin, Wmin_ ); + def< long >( d, nest::names::size_of, sizeof( *this ) ); +} + +template < typename targetidentifierT > +void +iSTDP< targetidentifierT >::set_status( const DictionaryDatum& d, + nest::ConnectorModel& cm ) +{ + ConnectionBase::set_status( d, cm ); + updateValue< double >( d, nest::names::weight, weight_ ); + updateValue< double >( d, nest::names::tau_plus, tau_plus_ ); + updateValue< double >( d, nest::names::lambda, lambda_ ); + updateValue< double >( d, nest::names::alpha, alpha_ ); + updateValue< double >( d, nest::names::mu_plus, mu_plus_ ); + updateValue< double >( d, nest::names::mu_minus, mu_minus_ ); + updateValue< double >( d, nest::names::Wmax, Wmax_ ); + updateValue< double >( d, nest::names::Wmin, Wmin_ ); + + // check if weight_ and Wmax_ has the same sign + if ( not( ( ( weight_ >= 0 ) - ( weight_ < 0 ) ) + == ( ( Wmax_ >= 0 ) - ( Wmax_ < 0 ) ) ) ) + { + throw nest::BadProperty( "Weight and Wmax must have same sign." ); + } +} + +} // of namespace nest + +#endif // of #ifndef iSTDP_H diff --git a/mynames.cpp b/mynames.cpp new file mode 100644 index 0000000..fa4fbac --- /dev/null +++ b/mynames.cpp @@ -0,0 +1,47 @@ +/* + * mynames.cpp + * + * This file is part of NEST. + * + * Copyright (C) 2004 The NEST Initiative + * + * NEST is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 2 of the License, or + * (at your option) any later version. + * + * NEST is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with NEST. If not, see . + * + */ +#include "mynames.h" + +namespace mynest +{ +namespace mynames +{ +const Name first_dcn( "first_dcn" ); +const Name gain( "gain" ); +const Name num_dcn( "num_dcn" ); +const Name positive( "positive" ); +const Name protocol( "protocol" ); +const Name Tduration( "Tduration" ); +const Name sdev( "sdev" ); +const Name vt_num( "vt_num" ); + +const Name trial_length( "trial_length" ); +const Name target( "target" ); +const Name prism_deviation( "prism_deviation" ); +const Name baseline_rate( "baseline_rate" ); +const Name gain_rate( "gain_rate" ); +const Name joint_id( "joint_id" ); +const Name fiber_id( "fiber_id" ); +const Name fibers_per_joint( "fibers_per_joint" ); +const Name rbf_sdev( "rbf_sdev" ); +} +} diff --git a/mynames.h b/mynames.h new file mode 100644 index 0000000..1ec0102 --- /dev/null +++ b/mynames.h @@ -0,0 +1,64 @@ +/* + * mynames.h + * + * This file is part of NEST. + * + * Copyright (C) 2004 The NEST Initiative + * + * NEST is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 2 of the License, or + * (at your option) any later version. + * + * NEST is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with NEST. If not, see . + * + */ + +#ifndef MY_NAMES_H +#define MY_NAMES_H + +// Includes from sli: +#include "name.h" + +namespace mynest +{ + +/** + * This namespace contains global Name objects. These can be used in + * Node::get_status and Node::set_status to make data exchange + * more efficient and consistent. Creating a Name from a std::string + * is in O(log n), for n the number of Names already created. Using + * predefined names should make data exchange much more efficient. + */ +namespace mynames +{ +extern const Name first_dcn; +extern const Name gain; +extern const Name num_dcn; //!< Number of Deep Cerebellar Nuclei + //!< (closed_loop_neuron) +extern const Name positive; +extern const Name protocol; +extern const Name Tduration; //!< US duration for Closed Loop Neuron +extern const Name sdev; + +extern const Name vt_num; + +extern const Name trial_length; +extern const Name target; +extern const Name prism_deviation; +extern const Name baseline_rate; +extern const Name gain_rate; +extern const Name joint_id; +extern const Name fiber_id; +extern const Name fibers_per_joint; +extern const Name rbf_sdev; +} +} + +#endif //MY_NAMES_H diff --git a/sli/cerebmodule-init.sli b/sli/cerebmodule-init.sli new file mode 100644 index 0000000..8f1d534 --- /dev/null +++ b/sli/cerebmodule-init.sli @@ -0,0 +1,28 @@ +/* + * cerebmodule-init.sli + * + * This file is part of NEST. + * + * Copyright (C) 2004 The NEST Initiative + * + * NEST is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 2 of the License, or + * (at your option) any later version. + * + * NEST is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with NEST. If not, see . + * + */ + +/* + * Initialization file for Alberto. + * Run automatically when Alberto is loaded. + */ + +M_DEBUG (cerebmodule.sli) (Initializing SLI support for CerebModule.) message diff --git a/stdp_connection_alpha.cpp b/stdp_connection_alpha.cpp new file mode 100644 index 0000000..d77f431 --- /dev/null +++ b/stdp_connection_alpha.cpp @@ -0,0 +1,101 @@ +/* + * stdp_connection_alpha.cpp + * + * This file is part of NEST. + * + * Copyright (C) 2004 The NEST Initiative + * + * NEST is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 2 of the License, or + * (at your option) any later version. + * + * NEST is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with NEST. If not, see . + * + */ + + /* + + Alberto Antonietti + alberto.antonietti@polimi.it + + Cerebellar PF-PC Plasticity with an exp. sin. Kernel LTP and LTD + + */ + +#include "stdp_connection_alpha.h" + +// Includes from nestkernel: +#include "common_synapse_properties.h" +#include "connector_model.h" +#include "event.h" +#include "kernel_manager.h" + +// Includes from sli: +#include "dictdatum.h" + +namespace mynest +{ +// +// Implementation of class STDPAlphaCommonProperties. +// + +STDPAlphaCommonProperties::STDPAlphaCommonProperties() + : nest::CommonSynapseProperties() + , A_plus_( 1.0 ) + , A_minus_( 1.5 ) + , Wmin_( 0.0 ) + , Wmax_( 200.0 ) + , vtC_ ( 0 ) +{ +} + +void +STDPAlphaCommonProperties::get_status( DictionaryDatum& d ) const +{ + nest::CommonSynapseProperties::get_status( d ); + if ( vtC_ != 0 ) + { + def< long >( d, nest::names::vt, vtC_->get_gid() ); + } + + else + { + def< long >( d, nest::names::vt, -1 ); + } + def< double >( d, nest::names::A_plus, A_plus_ ); + def< double >( d, nest::names::A_minus, A_minus_ ); + def< double >( d, nest::names::Wmin, Wmin_ ); + def< double >( d, nest::names::Wmax, Wmax_ ); +} + +void +STDPAlphaCommonProperties::set_status( const DictionaryDatum& d, + nest::ConnectorModel& cm ) +{ + nest::CommonSynapseProperties::set_status( d, cm ); + + long vtgid; + if ( updateValue< long >( d, nest::names::vt, vtgid ) ) + { + vtC_ = dynamic_cast< volume_transmitter_alberto* >( nest::kernel().node_manager.get_node( + vtgid, nest::kernel().vp_manager.get_thread_id() ) ); + if ( vtC_ == 0 ) + { + throw nest::BadProperty( "Dopamine source must be volume transmitter" ); + } + } + + updateValue< double >( d, nest::names::A_plus, A_plus_ ); + updateValue< double >( d, nest::names::A_minus, A_minus_ ); + updateValue< double >( d, nest::names::Wmin, Wmin_ ); + updateValue< double >( d, nest::names::Wmax, Wmax_ ); +} + +} // End of namespace mynest diff --git a/stdp_connection_alpha.h b/stdp_connection_alpha.h new file mode 100644 index 0000000..2a458d4 --- /dev/null +++ b/stdp_connection_alpha.h @@ -0,0 +1,446 @@ +/* + * stdp_connection_alpha.h + * + * This file is part of NEST. + * + * Copyright (C) 2004 The NEST Initiative + * + * NEST is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 2 of the License, or + * (at your option) any later version. + * + * NEST is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with NEST. If not, see . + * + */ + + /* + Alice Geminiani + alice.geminiani@polimi.it + + Cerebellar MLI-PF Plasticity with an alpha function shaped kernel (based on the modulation of MLI activity during EBC + as shown in [TenBrinke et al., Cell Rep, 2015]). + Bidirectional plasticity LTP and LTD. + Based on stdp_connection_sinexp. + */ + +#ifndef STDP_CONNECTION_ALPHA_H +#define STDP_CONNECTION_ALPHA_H + +/* BeginDocumentation + + Name: + + Description: + + Examples: + + Parameters: + vt long - ID of volume_transmitter collecting the spikes from the pool of + dopamine releasing neurons and transmitting the spikes + to the synapse. A value of -1 indicates that no volume + transmitter has been assigned. + Common properties: + A_plus double - Amplitude of weight change for facilitation + A_minus double - Amplitude of weight change for depression + Wmin double - Minimal synaptic weight + Wmax double - Maximal synaptic weight + +*/ + +#include "connection.h" +#include "spikecounter.h" +#include "volume_transmitter_alberto.h" +#include "numerics.h" +#include +#include "mynames.h" + +namespace mynest +{ + +/** + * Class containing the common properties for all synapses of type dopamine connection. + */ +class STDPAlphaCommonProperties : public nest::CommonSynapseProperties +{ +public: + /** + * Default constructor. + * Sets all property values to defaults. + */ + STDPAlphaCommonProperties(); + + void get_status( DictionaryDatum& d ) const; + + void set_status( const DictionaryDatum& d, nest::ConnectorModel& cm ); + + long get_vt_gid() const; + + double A_plus_; + double A_minus_; + double Wmin_; + double Wmax_; + volume_transmitter_alberto* vtC_; +}; + +inline long +STDPAlphaCommonProperties::get_vt_gid() const +{ + if ( vtC_ != 0 ) + { + return vtC_->get_gid(); + } + else + { + return -1; + } +} + + +/** + * Class representing an STDPAlphaConnection with homogeneous parameters, + * i.e. parameters are the same for all synapses. + */ +template < typename targetidentifierT > +class STDPAlphaConnection : public nest::Connection< targetidentifierT > +{ + +public: + + nest::Node* get_node(); + + long get_vt_gid() const; + + volume_transmitter_alberto* vt_; + + std::vector SpikeBuffer_; + + typedef STDPAlphaCommonProperties CommonPropertiesType; + typedef nest::Connection< targetidentifierT > ConnectionBase; + + STDPAlphaConnection(); + + STDPAlphaConnection( const STDPAlphaConnection& ); + + // Explicitly declare all methods inherited from the dependent base ConnectionBase. + // This avoids explicit name prefixes in all places these functions are used. + // Since ConnectionBase depends on the template parameter, they are not automatically + // found in the base class. + using ConnectionBase::get_delay; + using ConnectionBase::get_delay_steps; + using ConnectionBase::get_rport; + using ConnectionBase::get_target; + + void get_status( DictionaryDatum& d ) const; + + void set_status( const DictionaryDatum& d, nest::ConnectorModel& cm ); + + void send( nest::Event& e, nest::thread t, const STDPAlphaCommonProperties& cp ); + + void trigger_update_weight( nest::thread t, + const std::vector< nest::spikecounter >& dopa_spikes, double t_trig, const STDPAlphaCommonProperties& cp ); + + class ConnTestDummyNode : public nest::ConnTestDummyNodeBase{ + public: + // Ensure proper overriding of overloaded virtual functions. + // Return values from functions are ignored. + using nest::ConnTestDummyNodeBase::handles_test_event; + nest::port + handles_test_event( nest::SpikeEvent&, nest::rport ){ + return nest::invalid_port_; + } + }; + + + /* + * This function calls check_connection on the sender and checks if the receiver + * accepts the event type and receptor type requested by the sender. + * Node::check_connection() will either confirm the receiver port by returning + * true or false if the connection should be ignored. + * We have to override the base class' implementation, since for STDP + * connections we have to call register_stdp_pl_connection on the target neuron + * to inform the Archiver to collect spikes for this connection. + * Further, the STDP dopamine synapse requires a volume transmitter to be set before + * any simulation is performed. Checking this satisfies ticket #926. + * + * \param s The source node + * \param r The target node + * \param receptor_type The ID of the requested receptor type + * \param t_lastspike_ last spike produced by presynaptic neuron (in ms) + */ + void + check_connection( nest::Node& s, + nest::Node& t, + nest::rport receptor_type, + const CommonPropertiesType& cp ) + { + ConnTestDummyNode dummy_target; + ConnectionBase::check_connection_( dummy_target, s, t, receptor_type ); + t.register_stdp_connection( t_lastspike_ - get_delay(), get_delay() ); + } + + void set_weight( double w ){ + weight_ = w; + } + + void set_vt_num( double n ){ + vt_num_ = n; + } + +private: + // update dopamine trace from last to current dopamine spike and increment index + void update_dopamine_( const std::vector< nest::spikecounter >& dopa_spikes,const STDPAlphaCommonProperties& cp ); + + void update_weight_(double weight_change, const STDPAlphaCommonProperties& cp ); + + void process_dopa_spikes_( const std::vector< nest::spikecounter >& dopa_spikes, double t0, double t1, const STDPAlphaCommonProperties& cp ); + + // data members of each connection + double weight_; + + // dopa_spikes_idx_ refers to the dopamine spike that has just been processes + // after trigger_update_weight a pseudo dopamine spike at t_trig is stored at index 0 and + // dopa_spike_idx_ = 0 + nest::index dopa_spikes_idx_; + + // time of last update, which is either time of last presyn. spike or time-driven update + double t_last_update_; + + double vt_num_; + + double t_lastspike_; +}; + +// +// Implementation of class STDPAlphaConnection. +// + +template < typename targetidentifierT > STDPAlphaConnection< targetidentifierT >::STDPAlphaConnection() + : ConnectionBase() + , vt_ ( 0 ) + , weight_( 1.0 ) + , dopa_spikes_idx_( 0 ) + , t_last_update_( 0.0 ) + , vt_num_ ( 0.0 ) + , t_lastspike_( 0.0 ) +{ +} + +template < typename targetidentifierT > STDPAlphaConnection< targetidentifierT >::STDPAlphaConnection( const STDPAlphaConnection& rhs ) + : ConnectionBase( rhs ) + , vt_ ( rhs.vt_ ) + , weight_( rhs.weight_ ) + , dopa_spikes_idx_( rhs.dopa_spikes_idx_ ) + , t_last_update_( rhs.t_last_update_ ) + , vt_num_ ( rhs.vt_num_ ) + , t_lastspike_( rhs.t_lastspike_ ) +{ +} + +template < typename targetidentifierT > void STDPAlphaConnection< targetidentifierT >::get_status( DictionaryDatum& d ) const{ + + // base class properties, different for individual synapse + ConnectionBase::get_status( d ); + def< double >( d, nest::names::weight, weight_ ); + def< double >( d, "vt_num", vt_num_ ); + if ( vt_ != 0 ) + { + def< long >( d, "modulator", vt_->get_gid() ); + } + else + { + def< long >( d, "modulator", -1 ); + } + +} + +template < typename targetidentifierT > +long +STDPAlphaConnection< targetidentifierT >::get_vt_gid( ) const +{ + if ( vt_ != 0 ) + { + return vt_->get_gid(); + } + else + { + return -1; + } +} + +template < typename targetidentifierT > +void +STDPAlphaConnection< targetidentifierT >::set_status( const DictionaryDatum& d, + nest::ConnectorModel& cm ) +{ + // base class properties + ConnectionBase::set_status( d, cm ); + updateValue< double >( d, nest::names::weight, weight_ ); + updateValue< double >( d, "vt_num", vt_num_ ); + long vtgid; + if ( updateValue< long >( d, nest::names::vt, vtgid ) ) + { + vt_ = dynamic_cast< volume_transmitter_alberto* >( nest::kernel().node_manager.get_node( vtgid ) ); + if ( vt_ == 0 ) + { + throw nest::BadProperty( "vt needs to be a Volume Transmitter" ); + } + } +} + + +template < typename targetidentifierT > +inline void +STDPAlphaConnection< targetidentifierT >::update_dopamine_( + const std::vector< nest::spikecounter >& dopa_spikes, + const STDPAlphaCommonProperties& cp ) +{ + // We enter here when there is a spike of the Volume Transmitter + double minus_dt = dopa_spikes[ dopa_spikes_idx_+1].spike_time_-1; + if ( SpikeBuffer_.size() > 0 ) + { + double LTP_amount = 0.0; + for ( unsigned int GR = 0; GR < SpikeBuffer_.size(); GR++ ) + { + double sd= SpikeBuffer_[ GR ] - minus_dt; + if ( sd < 0 && sd >= -200 ) + { + + LTP_amount += cp.A_plus_ * (exp(1)/0.050) * (-sd/1000.0)*exp(sd/50.0); + } + } + update_weight_( LTP_amount, cp ); + } + ++dopa_spikes_idx_; +} + + +template < typename targetidentifierT > +inline void +STDPAlphaConnection< targetidentifierT >::update_weight_(double weight_change, + const STDPAlphaCommonProperties& cp ) +{ + // LTP or LTD, depending on who calls this function + weight_ = weight_+weight_change; + if ( weight_ < cp.Wmin_ ) + { + weight_ = cp.Wmin_; + } + if ( weight_ > cp.Wmax_ ) + { + weight_ = cp.Wmax_; + } +} + +template < typename targetidentifierT > +inline void +STDPAlphaConnection< targetidentifierT >::process_dopa_spikes_( + const std::vector< nest::spikecounter >& dopa_spikes, + double t0, + double t1, + const STDPAlphaCommonProperties& cp ) +{ + // process dopa spikes in (t0, t1] + // propagate weight from t0 to t1 + if ( ( dopa_spikes.size() > dopa_spikes_idx_ ) && + ( dopa_spikes[ dopa_spikes_idx_ ].spike_time_ <= t1 && dopa_spikes[ dopa_spikes_idx_+1 ].multiplicity_ == int (vt_num_ ) ) ) + { + // A IO SPIKE IS DETECTED AT TIME T0, LTD happens with a different amplitude, it depends on the distance between IO SPIKE and PF spikes + update_dopamine_( dopa_spikes, cp ); + } +} + +/** + * Send an event to the receiver of this connection. + * \param e The event to send + * \param p The port under which this connection is stored in the Connector. + * \param t_lastspike Time point of last spike emitted + */ +template < typename targetidentifierT > +inline void +STDPAlphaConnection< targetidentifierT >::send( nest::Event& e, + nest::thread t, + const STDPAlphaCommonProperties& cp ) +{ + + nest::Node* target = get_target( t ); + double t_spike = e.get_stamp().get_ms(); + + // LTD (of a factor A_minus) due to new pre-synaptic spike + double t_spike_d = t_spike; + SpikeBuffer_.push_back( t_spike_d ); + update_weight_( cp.A_minus_, cp ); + while( SpikeBuffer_[ 0 ] < t_spike - 200.0 ) + { + SpikeBuffer_.erase( SpikeBuffer_.begin() ); + } + e.set_receiver( *target ); + e.set_weight( weight_ ); + e.set_delay_steps( get_delay_steps() ); + e.set_rport( get_rport() ); + e(); + + t_last_update_ = t_spike; + t_lastspike_ = t_spike; +} + +template < typename targetidentifierT > +inline void +STDPAlphaConnection< targetidentifierT >::trigger_update_weight( + nest::thread t, + const std::vector< nest::spikecounter >& dopa_spikes, + const double t_trig, + const STDPAlphaCommonProperties& cp ) +{ + int Vid_Check = cp.get_vt_gid(); + if ( Vid_Check != get_vt_gid() ) + { + return; + } + std::vector< nest::spikecounter > dopa_temp = dopa_spikes; + const std::vector< nest::spikecounter > dopa_temp2 = dopa_temp; + // purely dendritic delay + double dendritic_delay = get_delay(); + + // get spike history in relevant range (t_last_update, t_trig] from postsyn. neuron + std::deque< nest::histentry >::iterator start; + std::deque< nest::histentry >::iterator finish; + get_target( t )->get_history(t_last_update_ - dendritic_delay, t_trig - dendritic_delay, &start, &finish ); + + // facilitation due to postsyn. spikes since last update + double t0 = t_last_update_; + + // propagate weight, eligibility trace c, dopamine trace n and facilitation trace K_plus to time + // t_trig + // but do not increment/decrement as there are no spikes to be handled at t_trig + process_dopa_spikes_( dopa_temp2, t0, t_trig, cp ); + + t_last_update_ = t_trig; + dopa_spikes_idx_ = 0; +} + + +template < typename targetidentifierT > +inline nest::Node* +STDPAlphaConnection< targetidentifierT >::get_node() +{ + if ( vt_ == 0 ) + { + throw nest::BadProperty( "No neuron has been assigned as the modulator of the synapse." ); + } + else + { + return vt_; + } +} + +} // of namespace mynest + +#endif // of #ifndef STDP_CONNECTION_ALPHA_H + diff --git a/stdp_connection_cosexp.cpp b/stdp_connection_cosexp.cpp new file mode 100644 index 0000000..eb55b98 --- /dev/null +++ b/stdp_connection_cosexp.cpp @@ -0,0 +1,101 @@ +/* + * stdp_connection_cosexp.cpp + * + * This file is part of NEST. + * + * Copyright (C) 2004 The NEST Initiative + * + * NEST is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 2 of the License, or + * (at your option) any later version. + * + * NEST is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with NEST. If not, see . + * + */ + + /* + + Alberto Antonietti + alberto.antonietti@polimi.it + + Cerebellar PF-PC Plasticity with an exp. cos. Kernel LTP and LTD + + */ + +#include "stdp_connection_cosexp.h" + +// Includes from nestkernel: +#include "common_synapse_properties.h" +#include "connector_model.h" +#include "event.h" +#include "kernel_manager.h" + +// Includes from sli: +#include "dictdatum.h" + +namespace mynest +{ +// +// Implementation of class STDPCosExpCommonProperties. +// + +STDPCosExpCommonProperties::STDPCosExpCommonProperties() + : nest::CommonSynapseProperties() + , A_plus_( 1.0 ) + , A_minus_( 1.5 ) + , Wmin_( 0.0 ) + , Wmax_( 200.0 ) + , vtC_ ( 0 ) +{ +} + +void +STDPCosExpCommonProperties::get_status( DictionaryDatum& d ) const +{ + nest::CommonSynapseProperties::get_status( d ); + if ( vtC_ != 0 ) + { + def< long >( d, nest::names::vt, vtC_->get_gid() ); + } + + else + { + def< long >( d, nest::names::vt, -1 ); + } + def< double >( d, nest::names::A_plus, A_plus_ ); + def< double >( d, nest::names::A_minus, A_minus_ ); + def< double >( d, nest::names::Wmin, Wmin_ ); + def< double >( d, nest::names::Wmax, Wmax_ ); +} + +void +STDPCosExpCommonProperties::set_status( const DictionaryDatum& d, + nest::ConnectorModel& cm ) +{ + nest::CommonSynapseProperties::set_status( d, cm ); + + long vtgid; + if ( updateValue< long >( d, nest::names::vt, vtgid ) ) + { + vtC_ = dynamic_cast< volume_transmitter_alberto* >( nest::kernel().node_manager.get_node( + vtgid, nest::kernel().vp_manager.get_thread_id() ) ); + if ( vtC_ == 0 ) + { + throw nest::BadProperty( "Dopamine source must be volume transmitter" ); + } + } + + updateValue< double >( d, nest::names::A_plus, A_plus_ ); + updateValue< double >( d, nest::names::A_minus, A_minus_ ); + updateValue< double >( d, nest::names::Wmin, Wmin_ ); + updateValue< double >( d, nest::names::Wmax, Wmax_ ); +} + +} // End of namespace mynest diff --git a/stdp_connection_cosexp.h b/stdp_connection_cosexp.h new file mode 100644 index 0000000..88afe81 --- /dev/null +++ b/stdp_connection_cosexp.h @@ -0,0 +1,471 @@ +/* + * stdp_connection_cosexp.h + * + * This file is part of NEST. + * + * Copyright (C) 2004 The NEST Initiative + * + * NEST is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 2 of the License, or + * (at your option) any later version. + * + * NEST is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with NEST. If not, see . + * + */ + + /* + + Alberto Antonietti + alberto.antonietti@polimi.it + + Cerebellar PF-PC Plasticity with an exp. cos. Kernel LTP and LTD + + */ + +#ifndef STDP_CONNECTION_COSEXP_H +#define STDP_CONNECTION_COSEXP_H + +/* BeginDocumentation + + Name: + + Description: + + Examples: + + Parameters: + vt long - ID of volume_transmitter collecting the spikes from the pool of + dopamine releasing neurons and transmitting the spikes + to the synapse. A value of -1 indicates that no volume + transmitter has been assigned. + Common properties: + A_plus double - Amplitude of weight change for facilitation + A_minus double - Amplitude of weight change for depression + Wmin double - Minimal synaptic weight + Wmax double - Maximal synaptic weight + +*/ + +#include "connection.h" +#include "spikecounter.h" +#include "volume_transmitter_alberto.h" +#include "numerics.h" +#include +#include "mynames.h" + +namespace mynest +{ + +/** + * Class containing the common properties for all synapses of type dopamine connection. + */ +class STDPCosExpCommonProperties : public nest::CommonSynapseProperties +{ +public: + /** + * Default constructor. + * Sets all property values to defaults. + */ + STDPCosExpCommonProperties(); + + void get_status( DictionaryDatum& d ) const; + + void set_status( const DictionaryDatum& d, nest::ConnectorModel& cm ); + + long get_vt_gid() const; + + double A_plus_; + double A_minus_; + double Wmin_; + double Wmax_; + volume_transmitter_alberto* vtC_; +}; + +inline long +STDPCosExpCommonProperties::get_vt_gid() const +{ + if ( vtC_ != 0 ) + { + return vtC_->get_gid(); + } + else + { + return -1; + } +} + + +/** + * Class representing an STDPCosExpConnection with homogeneous parameters, + * i.e. parameters are the same for all synapses. + */ +template < typename targetidentifierT > +class STDPCosExpConnection : public nest::Connection< targetidentifierT > +{ + +public: + + nest::Node* get_node(); + + long get_vt_gid() const; + + volume_transmitter_alberto* vt_; + + std::vector SpikeBuffer_; + + double LastDopaSpike_; // IN ORDER TO HAVE LTD WHEN THE DOPA SPIKE HAPPENS BEFORE THE PRE-SYN NEURON SPIKE + + typedef STDPCosExpCommonProperties CommonPropertiesType; + typedef nest::Connection< targetidentifierT > ConnectionBase; + + STDPCosExpConnection(); + + STDPCosExpConnection( const STDPCosExpConnection& ); + + // Explicitly declare all methods inherited from the dependent base ConnectionBase. + // This avoids explicit name prefixes in all places these functions are used. + // Since ConnectionBase depends on the template parameter, they are not automatically + // found in the base class. + using ConnectionBase::get_delay; + using ConnectionBase::get_delay_steps; + using ConnectionBase::get_rport; + using ConnectionBase::get_target; + + void get_status( DictionaryDatum& d ) const; + + void set_status( const DictionaryDatum& d, nest::ConnectorModel& cm ); + + void send( nest::Event& e, nest::thread t, const STDPCosExpCommonProperties& cp ); + + void trigger_update_weight( nest::thread t, + const std::vector< nest::spikecounter >& dopa_spikes, double t_trig, const STDPCosExpCommonProperties& cp ); + + class ConnTestDummyNode : public nest::ConnTestDummyNodeBase{ + public: + // Ensure proper overriding of overloaded virtual functions. + // Return values from functions are ignored. + using nest::ConnTestDummyNodeBase::handles_test_event; + nest::port + handles_test_event( nest::SpikeEvent&, nest::rport ){ + return nest::invalid_port_; + } + }; + + + /* + * This function calls check_connection on the sender and checks if the receiver + * accepts the event type and receptor type requested by the sender. + * Node::check_connection() will either confirm the receiver port by returning + * true or false if the connection should be ignored. + * We have to override the base class' implementation, since for STDP + * connections we have to call register_stdp_pl_connection on the target neuron + * to inform the Archiver to collect spikes for this connection. + * Further, the STDP dopamine synapse requires a volume transmitter to be set before + * any simulation is performed. Checking this satisfies ticket #926. + * + * \param s The source node + * \param r The target node + * \param receptor_type The ID of the requested receptor type + * \param t_lastspike_ last spike produced by presynaptic neuron (in ms) + */ + void + check_connection( nest::Node& s, + nest::Node& t, + nest::rport receptor_type, + const CommonPropertiesType& cp ) + { + ConnTestDummyNode dummy_target; + ConnectionBase::check_connection_( dummy_target, s, t, receptor_type ); + t.register_stdp_connection( t_lastspike_ - get_delay(), get_delay() ); + } + + void set_weight( double w ){ + weight_ = w; + } + + void set_vt_num( double n ){ + vt_num_ = n; + } + +private: + // update dopamine trace from last to current dopamine spike and increment index + void update_dopamine_( const std::vector< nest::spikecounter >& dopa_spikes,const STDPCosExpCommonProperties& cp ); + + void update_weight_(double weight_change, const STDPCosExpCommonProperties& cp ); + + void process_dopa_spikes_( const std::vector< nest::spikecounter >& dopa_spikes, double t0, double t1, const STDPCosExpCommonProperties& cp ); + + // data members of each connection + double weight_; + + // dopa_spikes_idx_ refers to the dopamine spike that has just been processes + // after trigger_update_weight a pseudo dopamine spike at t_trig is stored at index 0 and + // dopa_spike_idx_ = 0 + nest::index dopa_spikes_idx_; + + // time of last update, which is either time of last presyn. spike or time-driven update + double t_last_update_; + + double vt_num_; + + double t_lastspike_; +}; + +// +// Implementation of class STDPCosExpConnection. +// + +template < typename targetidentifierT > STDPCosExpConnection< targetidentifierT >::STDPCosExpConnection() + : ConnectionBase() + , vt_ ( 0 ) + , weight_( 1.0 ) + , dopa_spikes_idx_( 0 ) + , t_last_update_( 0.0 ) + , vt_num_ ( 0 ) + , t_lastspike_( 0.0 ) +{ +} + +template < typename targetidentifierT > STDPCosExpConnection< targetidentifierT >::STDPCosExpConnection( const STDPCosExpConnection& rhs ) + : ConnectionBase( rhs ) + , vt_ ( rhs.vt_ ) + , weight_( rhs.weight_ ) + , dopa_spikes_idx_( rhs.dopa_spikes_idx_ ) + , t_last_update_( rhs.t_last_update_ ) + , vt_num_ ( rhs.vt_num_ ) + , t_lastspike_( rhs.t_lastspike_ ) +{ +} + +template < typename targetidentifierT > void STDPCosExpConnection< targetidentifierT >::get_status( DictionaryDatum& d ) const{ + + // base class properties, different for individual synapse + ConnectionBase::get_status( d ); + def< double >( d, nest::names::weight, weight_ ); + def< double >( d, "vt_num", vt_num_ ); + if ( vt_ != 0 ) + { + def< long >( d, "modulator", vt_->get_gid() ); + } + else + { + def< long >( d, "modulator", -1 ); + } + +} + +template < typename targetidentifierT > +long +STDPCosExpConnection< targetidentifierT >::get_vt_gid( ) const +{ + if ( vt_ != 0 ) + { + return vt_->get_gid(); + } + else + { + return -1; + } +} + +template < typename targetidentifierT > +void +STDPCosExpConnection< targetidentifierT >::set_status( const DictionaryDatum& d, + nest::ConnectorModel& cm ) +{ + // base class properties + ConnectionBase::set_status( d, cm ); + updateValue< double >( d, nest::names::weight, weight_ ); + updateValue< double >( d, "vt_num", vt_num_ ); + long vtgid; + if ( updateValue< long >( d, nest::names::vt, vtgid ) ) + { + vt_ = dynamic_cast< volume_transmitter_alberto* >( nest::kernel().node_manager.get_node( vtgid ) ); + if ( vt_ == 0 ) + { + throw nest::BadProperty( "vt needs to be a Volume Transmitter" ); + } + } +} + + +template < typename targetidentifierT > +inline void +STDPCosExpConnection< targetidentifierT >::update_dopamine_( + const std::vector< nest::spikecounter >& dopa_spikes, + const STDPCosExpCommonProperties& cp ) +{ + // We enter here when there is a spike of the Volume Transmitter + double minus_dt = dopa_spikes[ dopa_spikes_idx_+1].spike_time_-1; + LastDopaSpike_ = minus_dt; + if ( SpikeBuffer_.size() > 0 ) + { + while ( SpikeBuffer_[ 0 ] < minus_dt - 10.0 ) + { + SpikeBuffer_.erase( SpikeBuffer_.begin() ); + if ( SpikeBuffer_.size() == 0 ) + { + break; + } + } + } + + if ( minus_dt > 0 && SpikeBuffer_.size() > 0 ) + { + double LTD_amount = 0.0; + for ( unsigned int MF = 0; MF < SpikeBuffer_.size(); MF++ ) + { + double sd= SpikeBuffer_[ MF ] - minus_dt; + if ( sd <= 10.0 && sd >= -10.0 ) + { + LTD_amount += cp.A_minus_ * + exp( -( fabs( 400.0 * sd / 1000.0 ) ) ) * + pow( cos( sd / 1000.0 ), 2 ); + } + } + update_weight_( LTD_amount, cp ); + } + ++dopa_spikes_idx_; +} + + +template < typename targetidentifierT > +inline void +STDPCosExpConnection< targetidentifierT >::update_weight_(double weight_change, + const STDPCosExpCommonProperties& cp ) +{ + // LTP or LTD, depending on who calls this function + weight_ = weight_+weight_change; + if ( weight_ < cp.Wmin_ ) + { + weight_ = cp.Wmin_; + } + if ( weight_ > cp.Wmax_ ) + { + weight_ = cp.Wmax_; + } +} + +template < typename targetidentifierT > +inline void +STDPCosExpConnection< targetidentifierT >::process_dopa_spikes_( + const std::vector< nest::spikecounter >& dopa_spikes, + double t0, + double t1, + const STDPCosExpCommonProperties& cp ) +{ + // process dopa spikes in (t0, t1] + // propagate weight from t0 to t1 + if ( ( dopa_spikes.size() > dopa_spikes_idx_ ) && + ( dopa_spikes[ dopa_spikes_idx_ ].spike_time_ <= t1 && dopa_spikes[ dopa_spikes_idx_+1 ].multiplicity_ == int ( vt_num_ ) ) ) + { + // A IO SPIKE IS DETECTED AT TIME T0, LTD happens with a different amplitude, it depends on the distance between IO SPIKE and PF spikes + update_dopamine_( dopa_spikes, cp ); + } +} + +/** + * Send an event to the receiver of this connection. + * \param e The event to send + * \param p The port under which this connection is stored in the Connector. + * \param t_lastspike Time point of last spike emitted + */ +template < typename targetidentifierT > +inline void +STDPCosExpConnection< targetidentifierT >::send( nest::Event& e, + nest::thread t, + const STDPCosExpCommonProperties& cp ) +{ + + nest::Node* target = get_target( t ); + double t_spike = e.get_stamp().get_ms(); + + // LTP (of a factor A_plus) due to new pre-synaptic spike + double t_spike_d = t_spike; + SpikeBuffer_.push_back( t_spike_d ); + update_weight_( cp.A_plus_, cp ); + + double LTD_amount = 0.0; + double sd = t_spike_d - LastDopaSpike_ + 1.0; + if ( sd <= 10.0 ) + { + LTD_amount += cp.A_minus_ * + exp( -( fabs( 400.0 * sd / 1000.0 ) ) ) * + pow( cos( sd / 1000.0 ),2 ); + } + update_weight_( LTD_amount, cp ); + + while ( SpikeBuffer_[ 0 ] < t_spike - 10.0 ) + { + SpikeBuffer_.erase( SpikeBuffer_.begin() ); + } + e.set_receiver( *target ); + e.set_weight( weight_ ); + e.set_delay_steps( get_delay_steps() ); + e.set_rport( get_rport() ); + e(); + + t_last_update_ = t_spike; + t_lastspike_ = t_spike; +} + +template < typename targetidentifierT > +inline void +STDPCosExpConnection< targetidentifierT >::trigger_update_weight( + nest::thread t, + const std::vector< nest::spikecounter >& dopa_spikes, + const double t_trig, + const STDPCosExpCommonProperties& cp ) +{ + int Vid_Check = cp.get_vt_gid(); + if ( Vid_Check != get_vt_gid() ) + { + return; + } + std::vector< nest::spikecounter > dopa_temp = dopa_spikes; + const std::vector< nest::spikecounter > dopa_temp2 = dopa_temp; + // purely dendritic delay + double dendritic_delay = get_delay(); + + // get spike history in relevant range (t_last_update, t_trig] from postsyn. neuron + std::deque< nest::histentry >::iterator start; + std::deque< nest::histentry >::iterator finish; + get_target( t )->get_history( t_last_update_ - dendritic_delay, t_trig - dendritic_delay, &start, &finish ); + + // facilitation due to postsyn. spikes since last update + double t0 = t_last_update_; + + // propagate weight, eligibility trace c, dopamine trace n and facilitation trace K_plus to time + // t_trig + // but do not increment/decrement as there are no spikes to be handled at t_trig + process_dopa_spikes_( dopa_temp2, t0, t_trig, cp ); + + t_last_update_ = t_trig; + dopa_spikes_idx_ = 0; +} + + +template < typename targetidentifierT > +inline nest::Node* +STDPCosExpConnection< targetidentifierT >::get_node() +{ + if ( vt_ == 0 ) + { + throw nest::BadProperty( "No neuron has been assigned as the modulator of the synapse." ); + } + else + { + return vt_; + } +} + +} // of namespace mynest + +#endif // of #ifndef STDP_CONNECTION_COSEXP_H diff --git a/stdp_connection_sinexp.cpp b/stdp_connection_sinexp.cpp new file mode 100644 index 0000000..d11a34b --- /dev/null +++ b/stdp_connection_sinexp.cpp @@ -0,0 +1,101 @@ +/* + * stdp_connection_sinexp.cpp + * + * This file is part of NEST. + * + * Copyright (C) 2004 The NEST Initiative + * + * NEST is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 2 of the License, or + * (at your option) any later version. + * + * NEST is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with NEST. If not, see . + * + */ + + /* + + Alberto Antonietti + alberto.antonietti@polimi.it + + Cerebellar PF-PC Plasticity with an exp. sin. Kernel LTP and LTD + + */ + +#include "stdp_connection_sinexp.h" + +// Includes from nestkernel: +#include "common_synapse_properties.h" +#include "connector_model.h" +#include "event.h" +#include "kernel_manager.h" + +// Includes from sli: +#include "dictdatum.h" + +namespace mynest +{ +// +// Implementation of class STDPSinExpCommonProperties. +// + +STDPSinExpCommonProperties::STDPSinExpCommonProperties() + : nest::CommonSynapseProperties() + , A_plus_( 1.0 ) + , A_minus_( 1.5 ) + , Wmin_( 0.0 ) + , Wmax_( 200.0 ) + , vtC_ ( 0 ) +{ +} + +void +STDPSinExpCommonProperties::get_status( DictionaryDatum& d ) const +{ + nest::CommonSynapseProperties::get_status( d ); + if ( vtC_ != 0 ) + { + def< long >( d, nest::names::vt, vtC_->get_gid() ); + } + + else + { + def< long >( d, nest::names::vt, -1 ); + } + def< double >( d, nest::names::A_plus, A_plus_ ); + def< double >( d, nest::names::A_minus, A_minus_ ); + def< double >( d, nest::names::Wmin, Wmin_ ); + def< double >( d, nest::names::Wmax, Wmax_ ); +} + +void +STDPSinExpCommonProperties::set_status( const DictionaryDatum& d, + nest::ConnectorModel& cm ) +{ + nest::CommonSynapseProperties::set_status( d, cm ); + + long vtgid; + if ( updateValue< long >( d, nest::names::vt, vtgid ) ) + { + vtC_ = dynamic_cast< volume_transmitter_alberto* >( nest::kernel().node_manager.get_node( + vtgid, nest::kernel().vp_manager.get_thread_id() ) ); + if ( vtC_ == 0 ) + { + throw nest::BadProperty( "Dopamine source must be volume transmitter" ); + } + } + + updateValue< double >( d, nest::names::A_plus, A_plus_ ); + updateValue< double >( d, nest::names::A_minus, A_minus_ ); + updateValue< double >( d, nest::names::Wmin, Wmin_ ); + updateValue< double >( d, nest::names::Wmax, Wmax_ ); +} + +} // End of namespace mynest diff --git a/stdp_connection_sinexp.h b/stdp_connection_sinexp.h new file mode 100644 index 0000000..36cd021 --- /dev/null +++ b/stdp_connection_sinexp.h @@ -0,0 +1,446 @@ +/* + * stdp_connection_sinexp.h + * + * This file is part of NEST. + * + * Copyright (C) 2004 The NEST Initiative + * + * NEST is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 2 of the License, or + * (at your option) any later version. + * + * NEST is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with NEST. If not, see . + * + */ + + /* + + Alberto Antonietti + alberto.antonietti@polimi.it + + Cerebellar PF-PC Plasticity with an exp. sin. Kernel LTP and LTD + + */ + +#ifndef STDP_CONNECTION_SINEXP_H +#define STDP_CONNECTION_SINEXP_H + +/* BeginDocumentation + + Name: + + Description: + + Examples: + + Parameters: + vt long - ID of volume_transmitter collecting the spikes from the pool of + dopamine releasing neurons and transmitting the spikes + to the synapse. A value of -1 indicates that no volume + transmitter has been assigned. + Common properties: + A_plus double - Amplitude of weight change for facilitation + A_minus double - Amplitude of weight change for depression + Wmin double - Minimal synaptic weight + Wmax double - Maximal synaptic weight + +*/ + +#include "connection.h" +#include "spikecounter.h" +#include "volume_transmitter_alberto.h" +#include "numerics.h" +#include +#include "mynames.h" + +namespace mynest +{ + +/** + * Class containing the common properties for all synapses of type dopamine connection. + */ +class STDPSinExpCommonProperties : public nest::CommonSynapseProperties +{ +public: + /** + * Default constructor. + * Sets all property values to defaults. + */ + STDPSinExpCommonProperties(); + + void get_status( DictionaryDatum& d ) const; + + void set_status( const DictionaryDatum& d, nest::ConnectorModel& cm ); + + long get_vt_gid() const; + + double A_plus_; + double A_minus_; + double Wmin_; + double Wmax_; + volume_transmitter_alberto* vtC_; +}; + +inline long +STDPSinExpCommonProperties::get_vt_gid() const +{ + if ( vtC_ != 0 ) + { + return vtC_->get_gid(); + } + else + { + return -1; + } +} + + +/** + * Class representing an STDPSinExpConnection with homogeneous parameters, + * i.e. parameters are the same for all synapses. + */ +template < typename targetidentifierT > +class STDPSinExpConnection : public nest::Connection< targetidentifierT > +{ + +public: + + nest::Node* get_node(); + + long get_vt_gid() const; + + volume_transmitter_alberto* vt_; + + std::vector SpikeBuffer_; + + typedef STDPSinExpCommonProperties CommonPropertiesType; + typedef nest::Connection< targetidentifierT > ConnectionBase; + + STDPSinExpConnection(); + + STDPSinExpConnection( const STDPSinExpConnection& ); + + // Explicitly declare all methods inherited from the dependent base ConnectionBase. + // This avoids explicit name prefixes in all places these functions are used. + // Since ConnectionBase depends on the template parameter, they are not automatically + // found in the base class. + using ConnectionBase::get_delay; + using ConnectionBase::get_delay_steps; + using ConnectionBase::get_rport; + using ConnectionBase::get_target; + + void get_status( DictionaryDatum& d ) const; + + void set_status( const DictionaryDatum& d, nest::ConnectorModel& cm ); + + void send( nest::Event& e, nest::thread t, const STDPSinExpCommonProperties& cp ); + + void trigger_update_weight( nest::thread t, + const std::vector< nest::spikecounter >& dopa_spikes, double t_trig, const STDPSinExpCommonProperties& cp ); + + class ConnTestDummyNode : public nest::ConnTestDummyNodeBase{ + public: + // Ensure proper overriding of overloaded virtual functions. + // Return values from functions are ignored. + using nest::ConnTestDummyNodeBase::handles_test_event; + nest::port + handles_test_event( nest::SpikeEvent&, nest::rport ){ + return nest::invalid_port_; + } + }; + + + /* + * This function calls check_connection on the sender and checks if the receiver + * accepts the event type and receptor type requested by the sender. + * Node::check_connection() will either confirm the receiver port by returning + * true or false if the connection should be ignored. + * We have to override the base class' implementation, since for STDP + * connections we have to call register_stdp_pl_connection on the target neuron + * to inform the Archiver to collect spikes for this connection. + * Further, the STDP dopamine synapse requires a volume transmitter to be set before + * any simulation is performed. Checking this satisfies ticket #926. + * + * \param s The source node + * \param r The target node + * \param receptor_type The ID of the requested receptor type + * \param t_lastspike_ last spike produced by presynaptic neuron (in ms) + */ + void + check_connection( nest::Node& s, + nest::Node& t, + nest::rport receptor_type, + const CommonPropertiesType& cp ) + { + ConnTestDummyNode dummy_target; + ConnectionBase::check_connection_( dummy_target, s, t, receptor_type ); + t.register_stdp_connection( t_lastspike_ - get_delay(), get_delay() ); + } + + void set_weight( double w ){ + weight_ = w; + } + + void set_vt_num( double n ){ + vt_num_ = n; + } + +private: + // update dopamine trace from last to current dopamine spike and increment index + void update_dopamine_( const std::vector< nest::spikecounter >& dopa_spikes,const STDPSinExpCommonProperties& cp ); + + void update_weight_(double weight_change, const STDPSinExpCommonProperties& cp ); + + void process_dopa_spikes_( const std::vector< nest::spikecounter >& dopa_spikes, double t0, double t1, const STDPSinExpCommonProperties& cp ); + + // data members of each connection + double weight_; + + + // dopa_spikes_idx_ refers to the dopamine spike that has just been processes + // after trigger_update_weight a pseudo dopamine spike at t_trig is stored at index 0 and + // dopa_spike_idx_ = 0 + nest::index dopa_spikes_idx_; + + // time of last update, which is either time of last presyn. spike or time-driven update + double t_last_update_; + + double vt_num_; + + double t_lastspike_; +}; + +// +// Implementation of class STDPSinExpConnection. +// + +template < typename targetidentifierT > STDPSinExpConnection< targetidentifierT >::STDPSinExpConnection() + : ConnectionBase() + , vt_ ( 0 ) + , weight_( 1.0 ) + , dopa_spikes_idx_( 0 ) + , t_last_update_( 0.0 ) + , vt_num_ ( 0.0 ) + , t_lastspike_( 0.0 ) +{ +} + +template < typename targetidentifierT > STDPSinExpConnection< targetidentifierT >::STDPSinExpConnection( const STDPSinExpConnection& rhs ) + : ConnectionBase( rhs ) + , vt_ ( rhs.vt_ ) + , weight_( rhs.weight_ ) + , dopa_spikes_idx_( rhs.dopa_spikes_idx_ ) + , t_last_update_( rhs.t_last_update_ ) + , vt_num_ ( rhs.vt_num_ ) + , t_lastspike_( rhs.t_lastspike_ ) +{ +} + +template < typename targetidentifierT > void STDPSinExpConnection< targetidentifierT >::get_status( DictionaryDatum& d ) const{ + + // base class properties, different for individual synapse + ConnectionBase::get_status( d ); + def< double >( d, nest::names::weight, weight_ ); + def< double >( d, "vt_num", vt_num_ ); + if ( vt_ != 0 ) + { + def< long >( d, "modulator", vt_->get_gid() ); + } + else + { + def< long >( d, "modulator", -1 ); + } + +} + +template < typename targetidentifierT > +long +STDPSinExpConnection< targetidentifierT >::get_vt_gid( ) const +{ + if ( vt_ != 0 ) + { + return vt_->get_gid(); + } + else + { + return -1; + } +} + +template < typename targetidentifierT > +void +STDPSinExpConnection< targetidentifierT >::set_status( const DictionaryDatum& d, + nest::ConnectorModel& cm ) +{ + // base class properties + ConnectionBase::set_status( d, cm ); + updateValue< double >( d, nest::names::weight, weight_ ); + updateValue< double >( d, "vt_num", vt_num_ ); + long vtgid; + if ( updateValue< long >( d, nest::names::vt, vtgid ) ) + { + vt_ = dynamic_cast< volume_transmitter_alberto* >( nest::kernel().node_manager.get_node( vtgid ) ); + if ( vt_ == 0 ) + { + throw nest::BadProperty( "vt needs to be a Volume Transmitter" ); + } + } +} + + +template < typename targetidentifierT > +inline void +STDPSinExpConnection< targetidentifierT >::update_dopamine_( + const std::vector< nest::spikecounter >& dopa_spikes, + const STDPSinExpCommonProperties& cp ) +{ + // We enter here when there is a spike of the Volume Transmitter + double minus_dt = dopa_spikes[ dopa_spikes_idx_+1].spike_time_-1; + if ( SpikeBuffer_.size() > 0 ) + { + double LTD_amount = 0.0; + for ( unsigned int GR = 0; GR < SpikeBuffer_.size(); GR++ ) + { + double sd= SpikeBuffer_[ GR ] - minus_dt; + if ( sd < 0 && sd >= -200 ) + { + LTD_amount += cp.A_minus_ * + exp( -( sd - 150.0 ) / 1000.0 ) * + pow( ( sin( 2 * 3.1415 * ( sd - 150.0 ) / 1000.0 ) ), 20 ) / 1.2848; + } + } + update_weight_( LTD_amount, cp ); + } + ++dopa_spikes_idx_; +} + + +template < typename targetidentifierT > +inline void +STDPSinExpConnection< targetidentifierT >::update_weight_(double weight_change, + const STDPSinExpCommonProperties& cp ) +{ + // LTP or LTD, depending on who calls this function + weight_ = weight_+weight_change; + if ( weight_ < cp.Wmin_ ) + { + weight_ = cp.Wmin_; + } + if ( weight_ > cp.Wmax_ ) + { + weight_ = cp.Wmax_; + } +} + +template < typename targetidentifierT > +inline void +STDPSinExpConnection< targetidentifierT >::process_dopa_spikes_( + const std::vector< nest::spikecounter >& dopa_spikes, + double t0, + double t1, + const STDPSinExpCommonProperties& cp ) +{ + // process dopa spikes in (t0, t1] + // propagate weight from t0 to t1 + if ( ( dopa_spikes.size() > dopa_spikes_idx_ ) && + ( dopa_spikes[ dopa_spikes_idx_ ].spike_time_ <= t1 && dopa_spikes[ dopa_spikes_idx_+1 ].multiplicity_ == int (vt_num_ ) ) ) + { + // A IO SPIKE IS DETECTED AT TIME T0, LTD happens with a different amplitude, it depends on the distance between IO SPIKE and PF spikes + update_dopamine_( dopa_spikes, cp ); + } +} + +/** + * Send an event to the receiver of this connection. + * \param e The event to send + * \param p The port under which this connection is stored in the Connector. + * \param t_lastspike Time point of last spike emitted + */ +template < typename targetidentifierT > +inline void +STDPSinExpConnection< targetidentifierT >::send( nest::Event& e, + nest::thread t, + const STDPSinExpCommonProperties& cp ) +{ + + nest::Node* target = get_target( t ); + double t_spike = e.get_stamp().get_ms(); + + // LTP (of a factor A_plus) due to new pre-synaptic spike + double t_spike_d = t_spike; + SpikeBuffer_.push_back( t_spike_d ); + update_weight_( cp.A_plus_, cp ); + while( SpikeBuffer_[ 0 ] < t_spike - 200.0 ) + { + SpikeBuffer_.erase( SpikeBuffer_.begin() ); + } + e.set_receiver( *target ); + e.set_weight( weight_ ); + e.set_delay_steps( get_delay_steps() ); + e.set_rport( get_rport() ); + e(); + + t_last_update_ = t_spike; + t_lastspike_ = t_spike; +} + +template < typename targetidentifierT > +inline void +STDPSinExpConnection< targetidentifierT >::trigger_update_weight( + nest::thread t, + const std::vector< nest::spikecounter >& dopa_spikes, + const double t_trig, + const STDPSinExpCommonProperties& cp ) +{ + int Vid_Check = cp.get_vt_gid(); + if ( Vid_Check != get_vt_gid() ) + { + return; + } + std::vector< nest::spikecounter > dopa_temp = dopa_spikes; + const std::vector< nest::spikecounter > dopa_temp2 = dopa_temp; + // purely dendritic delay + double dendritic_delay = get_delay(); + + // get spike history in relevant range (t_last_update, t_trig] from postsyn. neuron + std::deque< nest::histentry >::iterator start; + std::deque< nest::histentry >::iterator finish; + get_target( t )->get_history(t_last_update_ - dendritic_delay, t_trig - dendritic_delay, &start, &finish ); + + // facilitation due to postsyn. spikes since last update + double t0 = t_last_update_; + + // propagate weight, eligibility trace c, dopamine trace n and facilitation trace K_plus to time + // t_trig + // but do not increment/decrement as there are no spikes to be handled at t_trig + process_dopa_spikes_( dopa_temp2, t0, t_trig, cp ); + + t_last_update_ = t_trig; + dopa_spikes_idx_ = 0; +} + + +template < typename targetidentifierT > +inline nest::Node* +STDPSinExpConnection< targetidentifierT >::get_node() +{ + if ( vt_ == 0 ) + { + throw nest::BadProperty( "No neuron has been assigned as the modulator of the synapse." ); + } + else + { + return vt_; + } +} + +} // of namespace mynest + +#endif // of #ifndef STDP_CONNECTION_SINEXP_H diff --git a/volume_transmitter_alberto.cpp b/volume_transmitter_alberto.cpp new file mode 100644 index 0000000..76993b4 --- /dev/null +++ b/volume_transmitter_alberto.cpp @@ -0,0 +1,146 @@ +/* + * volume_transmitter_alberto.cpp + * + * This file is part of NEST. + * + * Copyright (C) 2004 The NEST Initiative + * + * NEST is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 2 of the License, or + * (at your option) any later version. + * + * NEST is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with NEST. If not, see . + * + */ + +#include "volume_transmitter_alberto.h" + +// C++ includes: +#include + +// Includes from nestkernel: +#include "connector_base.h" +#include "exceptions.h" +#include "kernel_manager.h" +#include "spikecounter.h" + +// Includes from sli: +#include "arraydatum.h" +#include "dict.h" +#include "dictutils.h" +#include "doubledatum.h" +#include "integerdatum.h" +#include "mynames.h" + +/* ---------------------------------------------------------------- + * Default constructor defining default parameters + * ---------------------------------------------------------------- */ + +mynest::volume_transmitter_alberto::Parameters_::Parameters_() + : deliver_interval_( 1 ) // in steps of mindelay + , vt_num_ ( 0 ) +{ +} + +/* ---------------------------------------------------------------- + * Parameter and state extractions and manipulation functions + * ---------------------------------------------------------------- */ + +void +mynest::volume_transmitter_alberto::Parameters_::get( DictionaryDatum& d ) const +{ + def< long >( d, nest::names::deliver_interval, deliver_interval_ ); + def< long >( d, "vt_num", vt_num_ ); +} + +void mynest::volume_transmitter_alberto::Parameters_::set( const DictionaryDatum& d ) +{ + updateValue< long >( d, nest::names::deliver_interval, deliver_interval_ ); + updateValue< long >( d, "vt_num", vt_num_ ); +} + +/* ---------------------------------------------------------------- + * Default and copy constructor for volume transmitter + * ---------------------------------------------------------------- */ + +mynest::volume_transmitter_alberto::volume_transmitter_alberto() + : Archiving_Node() + , P_() +{ +} + +mynest::volume_transmitter_alberto::volume_transmitter_alberto( const volume_transmitter_alberto& n ) + : Archiving_Node( n ) + , P_( n.P_ ) +{ +} + +void +mynest::volume_transmitter_alberto::init_state_( const Node& ) +{ +} + +void +mynest::volume_transmitter_alberto::init_buffers_() +{ + B_.neuromodulatory_spikes_.clear(); + B_.spikecounter_.clear(); + B_.spikecounter_.push_back( + nest::spikecounter( 0.0, 0.0 ) ); // insert pseudo last dopa spike at t = 0.0 + Archiving_Node::clear_history(); +} + +void +mynest::volume_transmitter_alberto::calibrate() +{ + // +1 as pseudo dopa spike at t_trig is inserted after trigger_update_weight + B_.spikecounter_.reserve( + nest::kernel().connection_manager.get_min_delay() * P_.deliver_interval_ + 1 ); +} + +void +mynest::volume_transmitter_alberto::update( const nest::Time&, const long from, const long to ) +{ + // spikes that arrive in this time slice are stored in spikecounter_ + double t_spike; + double multiplicity; + long lag = from; + multiplicity = B_.neuromodulatory_spikes_.get_value( lag ); + if ( multiplicity > 0 ) + { + t_spike = nest::Time( nest::Time::step( nest::kernel().simulation_manager.get_slice_origin().get_steps()+ lag + 1 ) ).get_ms(); + B_.spikecounter_.push_back( nest::spikecounter( t_spike, P_.vt_num_ ) ); + + // all spikes stored in spikecounter_ are delivered to the target synapses + if ( ( nest::kernel().simulation_manager.get_slice_origin().get_steps() + to ) % ( P_.deliver_interval_ * nest::kernel().connection_manager.get_min_delay() ) == 0 ) + { + double t_trig = nest::Time(nest::Time::step( nest::kernel().simulation_manager.get_slice_origin().get_steps() + to ) ).get_ms(); + if ( not( B_.spikecounter_.empty() ) ) + { + //std::cout << P_.vt_num_ << " << P_.vt_num_ " << get_gid() << " << get_gid() " << std::endl; + nest::kernel().connection_manager.trigger_update_weight(get_gid()-P_.vt_num_, B_.spikecounter_, t_trig ); + } + // clear spikecounter + B_.spikecounter_.clear(); + + // as with trigger_update_weight dopamine trace has been updated to t_trig, + // insert pseudo last dopa spike at t_trig + B_.spikecounter_.push_back( nest::spikecounter( t_trig, 0.0 ) ); + } + } +} + +void +mynest::volume_transmitter_alberto::handle( nest::SpikeEvent& e ) +{ + B_.neuromodulatory_spikes_.add_value( + e.get_rel_delivery_steps( nest::kernel().simulation_manager.get_slice_origin() ), + static_cast< double >( e.get_multiplicity() ) ); +} diff --git a/volume_transmitter_alberto.h b/volume_transmitter_alberto.h new file mode 100644 index 0000000..83e14b7 --- /dev/null +++ b/volume_transmitter_alberto.h @@ -0,0 +1,231 @@ +/* + * volume_transmitter_alberto.h + * + * This file is part of NEST. + * + * Copyright (C) 2004 The NEST Initiative + * + * NEST is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 2 of the License, or + * (at your option) any later version. + * + * NEST is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with NEST. If not, see . + * + */ + +#ifndef VOLUME_TRANSMITTER_ALBERTO_H +#define VOLUME_TRANSMITTER_ALBERTO_H + +// Includes from nestkernel: +#include "archiving_node.h" +#include "event.h" +#include "nest_types.h" +#include "ring_buffer.h" +#include "spikecounter.h" + +// Includes from sli: +#include "namedatum.h" + + +namespace mynest +{ + +/** @BeginDocumentation +Name: volume_transmitter_alberto - Node used in combination with neuromodulated synaptic +plasticity. It collects all spikes emitted by the population of neurons +connected to the volume transmitter and transmits the signal to a user-specific +subset of synapses. + +Description: +The volume transmitter is used in combination with neuromodulated +synaptic plasticty, plasticity that depends not only on the activity +of the pre- and the postsynaptic neuron but also on a non-local +neuromodulatory third signal. It collects the spikes from all neurons +connected to the volume transmitter and delivers the spikes to a +user-specific subset of synapses. It is assumed that the +neuromodulatory signal is a function of the spike times of all spikes +emitted by the population of neurons connected to the volume +transmitter. The neuromodulatory dynamics is calculated in the +synapses itself. The volume transmitter interacts in a hybrid +structure with the neuromodulated synapses. In addition to the +delivery of the neuromodulatory spikes triggered by every pre-synaptic +spike, the neuromodulatory spike history is delivered in discrete time +intervals of a manifold of the minimal synaptic delay. In order to +insure the link between the neuromodulatory synapses and the volume +transmitter, the volume transmitter is passed as a parameter when a +neuromodulatory synapse is defined. The implementation is based on the +framework presented in [1]. + +Examples: +/volume_transmitter_alberto Create /vol Set +/iaf_psc_alpha Create /pre_neuron Set +/iaf_psc_alpha Create /post_neuron Set +/iaf_psc_alpha Create /neuromod_neuron Set +/stdp_dopamine_synapse << /vt vol >> SetDefaults +neuromod_neuron vol Connect +pre_neuron post_neuron /stdp_dopamine_synapse Connect + +Parameters: +deliver_interval - time interval given in d_min time steps, in which + the volume signal is delivered from the volume + transmitter to the assigned synapses + +References: +[1] Potjans W, Morrison A and Diesmann M (2010). Enabling functional + neural circuit simulations with distributed computing of + neuromodulated plasticity. + Front. Comput. Neurosci. 4:141. doi:10.3389/fncom.2010.00141 + +Author: Wiebke Potjans, Abigail Morrison + +Remarks: major changes to update function after code revision in Apr 2013 (SK) + +Receives: SpikeEvent + +SeeAlso: stdp_dopamine_synapse + +*/ +class ConnectorBase; + +class volume_transmitter_alberto : public nest::Archiving_Node +{ + +public: + volume_transmitter_alberto(); + volume_transmitter_alberto( const volume_transmitter_alberto& ); + + bool + has_proxies() const + { + return false; + } + bool + local_receiver() const + { + return false; + } + + /** + * Import sets of overloaded virtual functions. + * @see Technical Issues / Virtual Functions: Overriding, Overloading, and + * Hiding + */ + using nest::Node::handle; + using nest::Node::handles_test_event; + + void handle( nest::SpikeEvent& ); + + nest::port handles_test_event( nest::SpikeEvent&, nest::rport ); + + void get_status( DictionaryDatum& d ) const; + void set_status( const DictionaryDatum& d ); + + /** + * Since volume transmitters are duplicated on each thread, and are + * hence treated just as devices during node creation, we need to + * define the corresponding setter and getter for local_device_id. + **/ + void set_local_device_id( const nest::index ldid ); + nest::index get_local_device_id() const; + + const std::vector< nest::spikecounter >& deliver_spikes(); + +private: + void init_state_( nest::Node const& ); + void init_buffers_(); + void calibrate(); + + void update( const nest::Time&, const long, const long ); + + // -------------------------------------------- + + /** + * Independent parameters of the model. + */ + struct Parameters_ + { + Parameters_(); + void get( DictionaryDatum& ) const; + void set( const DictionaryDatum& ); + long deliver_interval_; //!< update interval in d_min time steps + long vt_num_; + }; + + //----------------------------------------------- + + struct Buffers_ + { + nest::RingBuffer neuromodulatory_spikes_; //!< buffer to store incoming spikes + //! vector to store and deliver spikes + std::vector< nest::spikecounter > spikecounter_; + }; + + Parameters_ P_; + Buffers_ B_; + + nest::index local_device_id_; +}; + +inline nest::port +volume_transmitter_alberto::handles_test_event( nest::SpikeEvent&, nest::rport receptor_type ) +{ + if ( receptor_type != 0 ) + { + throw nest::UnknownReceptorType( receptor_type, get_name() ); + } + return 0; +} + +inline void +volume_transmitter_alberto::get_status( DictionaryDatum& d ) const +{ + P_.get( d ); + nest::Archiving_Node::get_status( d ); + + ( *d )[ nest::names::element_type ] = LiteralDatum( nest::names::other ); +} + +inline void +volume_transmitter_alberto::set_status( const DictionaryDatum& d ) +{ + Parameters_ ptmp = P_; // temporary copy in case of errors + ptmp.set( d ); // throws if BadProperty + + // We now know that (ptmp, stmp) are consistent. We do not + // write them back to (P_, S_) before we are also sure that + // the properties to be set in the parent class are internally + // consistent. + nest::Archiving_Node::set_status( d ); + + // if we get here, temporaries contain consistent set of properties + P_ = ptmp; +} + +inline const std::vector< nest::spikecounter >& +volume_transmitter_alberto::deliver_spikes() +{ + return B_.spikecounter_; +} + +inline void +volume_transmitter_alberto::set_local_device_id( const nest::index ldid ) +{ + local_device_id_ = ldid; +} + +inline nest::index +volume_transmitter_alberto::get_local_device_id() const +{ + return local_device_id_; +} + +} // namespace + +#endif /* #ifndef volume_transmitter_alberto_H */