/kCSD-python

Kernel Current Source Density

Primary LanguageJupyter Notebook

Kernel Current Source Density

This is the 2.0 version of kCSD inverse method proposed in

J. Potworowski, W. Jakuczun, S. Łęski, D. K. Wójcik "Kernel Current Source Density Method" Neural Computation 24 (2012), 541–575

For details see the bioRxiv pre-print

Health Report

Continuous Integration (Travis):

https://travis-ci.org/Neuroinflab/kCSD-python.png?branch=master

Test Coverage :

https://coveralls.io/repos/github/Neuroinflab/kCSD-python/badge.png?branch=master

Documentation Status:

https://readthedocs.org/projects/kcsd-python/badge/?version=latest

Documentation

Autogenerated documentation available from readthedocs:

kCSD-python_Reference

Also included here are installation instructions, authors and their contributions, citation policy, contacts etc.,

Also included are Tutorials!

Earlier Stable versions

Please see git tags for earlier versions

  • v1.2 corresponds to the first time kCSD-python released as a python package
  • v1.0 corresponds to the version with the test cases written inside tests folder
  • v1.1 corresponds to the elephant python library version - no tests here

License

Modified BSD License