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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.


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


  • tracking the units
  • management of big datasets
  • GUI


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pykCSD-0.1.0-py2.py3-none-any.whl (24.5 kB) Copy SHA256 hash SHA256 Wheel 2.7
pykCSD-0.1.0.tar.gz (36.1 kB) Copy SHA256 hash SHA256 Source None

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