A Python module for estimation of entropy and information theoretic quantities using cutting edge bias correction methods.

You can download the latest release from the link on the right of this page. There is a Windows installer; on other platforms python setup.py install is required. All users are advised to upgrade to the latest version!

Documentation

If you use results of this software in any publication, please cite:

Ince, R. A. A., Petersen, R. S., Swan, D. C. and Panzeri, S. (2009)

"Python for Information Theoretic Analysis of Neural Data",

Frontiers in Neuroinformatics 3:4

as well as the relevant reference for the bias correction method used.

The source code is now hosted at GitHub so to contribute please fork that repository.

This library is being developed in part to provide information theoretic methods for use on the CARMEN project.

Please direct comments/questions/feedback to pyentropy AT robince.net