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kcsd-python's Introduction

Kernel Current Source Density

This is v2.0rc 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

This is in preparation for manuscript submission.

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.,

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

kcsd-python's People

Contributors

abukaj avatar asiaszmek avatar ccluri avatar danek8317 avatar m-kowalska avatar wsredniawa avatar

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