Frites: A Python package for functional connectivity analysis and group-level statistics of neurophysiological data

Python Submitted 21 September 2021 • Published 11 November 2022
Software repository Paper review Download paper Software archive
Review

Editor: @meg-simula (all papers)
Reviewers: @madvn (all reviews), @travisbthomp (all reviews)

Authors

Etienne Combrisson (0000-0002-7362-3247), Ruggero Basanisi (0000-0003-4776-596X), Vinicius Lima Cordeiro (0000-0001-7115-9041), Robin A.a Ince (0000-0001-8427-0507), Andrea Brovelli (0000-0002-5342-1330)

Citation

Combrisson et al., (2022). Frites: A Python package for functional connectivity analysis and group-level statistics of neurophysiological data. Journal of Open Source Software, 7(79), 3842, https://doi.org/10.21105/joss.03842

@article{Combrisson2022, doi = {10.21105/joss.03842}, url = {https://doi.org/10.21105/joss.03842}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {79}, pages = {3842}, author = {Etienne Combrisson and Ruggero Basanisi and Vinicius Lima Cordeiro and Robin A.a Ince and Andrea Brovelli}, title = {Frites: A Python package for functional connectivity analysis and group-level statistics of neurophysiological data}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

python cognitive neuroscience computational neuroscience neuroinformatics neurophysiology information theory information-based measures statistics functional connectivity fixed-effect ffx random-effect rfx cluster-based statistics MEG EEG sEEG LFPs Granger causality

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Journal of Open Source Software is an affiliate of the Open Source Inititative.

Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066