josue-orellana / pyTG

Python code for Torus Graphs for Analysis of Multivariate Phase Coupling
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pyTG

Python code for fitting phase coupling networks using Torus Graphs.

Version 1.0, October 4, 2021

Documentation can be found at: https://josue-orellana.github.io/pyTG/. We recommend looking at the examples to familiarize yourself with the code.

The code and examples supplement our publication:

Klein, N., Orellana, J., Brincat, S., Miller, E. K. and Kass, R. E. (2019). “Torus Graphs for Multivariate Phase Coupling Analysis”, The Annals of Applied Statistics.

Matlab code is published at https://github.com/natalieklein/torus-graphs

COPYRIGHT

@ 2021 Natalie Klein natalie.elizabeth.klein@gmail.com Josue Orellana josue@cmu.edu

N.K. and J.O. contributed equally to this work.

This code may not be distributed in any form without prior consent of the authors. Use and distribution of the included LFP data is also subject to approval from Brincat and Miller.

While the code has been carefully checked for bugs and applied to many datasets, we do not provide warranties of any kind.
The authors take no responsibility for support or maintenance of the code, although feedback is appreciated.