STDP synapse and IAF neuron generation for the compartmental feature [WIP] #1103
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
…dated-jinja-templates
…t_versions_compat
LeanderEwert
temporarily deployed
to
external
GitHub Actions
Inactive
…wert_cm_stdp # Conflicts: # pynestml/codegeneration/nest_compartmental_code_generator.py # pynestml/codegeneration/resources_nest/point_neuron/common/SynapseHeader.h.jinja2 # pynestml/codegeneration/resources_nest_compartmental/cm_neuron/cm_neuroncurrents_@[email protected] # pynestml/transformers/synapse_post_neuron_transformer.py # pynestml/utils/ast_vector_parameter_setter_and_printer.py
Fixed convolutions required for synapse spike inputs. (no longer required)
# Conflicts: # doc/running/running_nest_compartmental.rst # pynestml/cocos/co_co_cm_continuous_input_model.py # pynestml/cocos/co_cos_manager.py # pynestml/codegeneration/code_generator_utils.py # pynestml/codegeneration/nest_compartmental_code_generator.py # pynestml/codegeneration/printers/nest_variable_printer.py # pynestml/codegeneration/resources_nest_compartmental/cm_neuron/cm_neuroncurrents_@[email protected] # pynestml/codegeneration/resources_nest_compartmental/cm_neuron/cm_neuroncurrents_@[email protected] # pynestml/codegeneration/resources_nest_compartmental/cm_neuron/cm_tree_@[email protected] # pynestml/frontend/pynestml_frontend.py # pynestml/transformers/synapse_post_neuron_transformer.py # pynestml/utils/ast_mechanism_information_collector.py # pynestml/utils/ast_vector_parameter_setter_and_printer.py # pynestml/utils/continuous_input_processing.py # pynestml/utils/mechanism_processing.py # pynestml/utils/mechs_info_enricher.py # pynestml/utils/messages.py # tests/nest_compartmental_tests/resources/cm_default.nestml # tests/nest_compartmental_tests/resources/concmech.nestml # tests/nest_compartmental_tests/resources/continuous_test.nestml # tests/nest_compartmental_tests/test__cocos.py # tests/nest_compartmental_tests/test__concmech_model.py # tests/nest_compartmental_tests/test__continuous_input.py # tests/nest_compartmental_tests/test__interaction_with_disabled_mechanism.py
|
Bencher Report| Branch | 1103/merge |
| Testbed | ubuntu-latest |
Click to view all benchmark results
| Benchmark | Latency | Benchmark Result seconds (s) (Result Δ%) | Upper Boundary seconds (s) (Limit %) |
|---|---|---|---|
| tests/nest_continuous_benchmarking/test_nest_continuous_benchmarking.py::TestNESTContinuousBenchmarking::test_stdp_nn_synapse | 📈 view plot 🚷 view threshold | 3.89 s(-0.38%)Baseline: 3.91 s | 4.30 s (90.56%) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Making the creation of NESTML synapses compatible with the compartmental feature requires adjustments, as the compartmental neuron generation pipeline constructs neurons in a fundamentally different way. Since NESTML synapses are paired with their post-synaptic neuron during generation, the STDP feature must be specifically implemented for the compartmental pipeline.
The lack of cross-compartment or global variable access has made it impossible, or at least very difficult and unintuitive, to write IAF neurons.
The solutions to both problems have significant overlap, which is why both will be addressed in this pull request.