Skip to content
/ pykCSD Public

Object oriented Python kernel current source density toolbox

Notifications You must be signed in to change notification settings

INCF/pykCSD

Repository files navigation

pykCSD

NOTE: This module is currently not maintained. We recommend using

kCSD-python : https://github.com/Neuroinflab/kCSD-python

The relevant documentation with extensive tutorials is provided there. Daniel Wójcik

pykCSD

Kernel Current Source Density is a recently developed method for estimating the density of trans-membrane current sources, which can be used for a detailed study of neuronal synaptic dynamics.

It can estimate current source density from potentials measured with irregularly placed linear, planar and spatial electrodes.

https://badge.fury.io/py/pykCSD.png https://travis-ci.org/INCF/pykCSD.png?branch=master https://pypip.in/d/pykCSD/badge.png

Features

  • Estimation of potentials and CSD in 1D, 2D, 3D case for both static and dynamic recordings
  • Visualization of the estimated quantities

TODO

  • tracking the units
  • management of big datasets
  • GUI

About

Object oriented Python kernel current source density toolbox

Resources

Stars

Watchers

Forks

Packages

No packages published