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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

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page