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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.

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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

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Object oriented Python kernel current source density toolbox

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  • Python 96.5%
  • MATLAB 2.2%
  • Makefile 1.3%