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Object oriented Python kernel current source density toolbox

Project description

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

History

Project details


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This version
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0.1.0

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Filename, size & hash SHA256 hash help File type Python version Upload date
pykCSD-0.1.0-py2.py3-none-any.whl (24.5 kB) Copy SHA256 hash SHA256 Wheel 2.7 Aug 11, 2014
pykCSD-0.1.0.tar.gz (36.1 kB) Copy SHA256 hash SHA256 Source None Aug 11, 2014

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