Metadata-Version: 1.1
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
Description: ===============================
        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.
        
        .. 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
        --------
        
        * 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
        -------
        
        
        
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
