Metadata-Version: 2.0
Name: pykCSD
Version: 0.1.0
Summary: UNKNOWN
Home-page: https://github.com/INCF/pykCSD
Author: Grzegorz Parka
Author-email: grzegorz.parka@gmail.com
License: BSD
Keywords: pykCSD,kernel current source denisty
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2.7
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: scikit-learn

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pykCSD
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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.

.. image:: https://badge.fury.io/py/pykCSD.png
    :target: http://badge.fury.io/py/pykCSD

.. image:: https://travis-ci.org/INCF/pykCSD.png?branch=master
        :target: https://travis-ci.org/INCF/pykCSD

.. image:: https://pypip.in/d/pykCSD/badge.png
        :target: https://pypi.python.org/pypi/pykCSD


* Free software: BSD license
* Documentation: http://pykCSD.rtfd.org.

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


TODO
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* tracking the units
* management of big datasets
* GUI



History
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