Reducing the efforts to create reproducible analysis code with FieldTrip

MATLAB Mathematica Submitted 10 March 2023Published 21 February 2024
Review

Editor: @crsl4 (all papers)
Reviewers: @gflofst (all reviews), @ashahide (all reviews)

Authors

Mats W.j. van Es (0000-0002-7133-509X), Eelke Spaak (0000-0002-2018-3364), Jan-Mathijs Schoffelen (0000-0003-0923-6610), Robert Oostenveld (0000-0002-1974-1293)

Citation

van Es et al., (2024). Reducing the efforts to create reproducible analysis code with FieldTrip. Journal of Open Source Software, 9(94), 5566, https://doi.org/10.21105/joss.05566

@article{van Es2024, doi = {10.21105/joss.05566}, url = {https://doi.org/10.21105/joss.05566}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {94}, pages = {5566}, author = {Mats W.j. van Es and Eelke Spaak and Jan-Mathijs Schoffelen and Robert Oostenveld}, title = {Reducing the efforts to create reproducible analysis code with FieldTrip}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

FieldTrip Toolbox reproducibility analysis pipeline open science MEG EEG

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

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