MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis

Description

MNE-BIDS is a Python library to facilitate the analysis of MEG, EEG, and iEEG data with MNE-Python for data conforming to the BIDS (Brain Imaging Data Structure) format. More information about BIDS and MNE-Python can be found at bids.neuroimaging.io and mne.tools, respectively. The title and description of this software/code correspond with the situation when the software metadata was imported to ACRIS. The most recent version of metadata is available in the original repository.
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Year of publication

2021

Authors

Department of Neuroscience and Biomedical Engineering

Adam Li - Contributor

Alexander P Rockhill - Contributor

Alexandre Gramfort - Contributor

Chris Holdgraf - Contributor

Clemens Brunner - Contributor

Dominik Welke - Contributor

Eric Larson - Contributor

Ezequiel Mikulan - Contributor

Kambiz Tavabi - Contributor

Mainak Jas - Contributor

Marijn van Vliet Orcid -palvelun logo - Contributor

Matthew Sanderson - Contributor

Maximilien Chaumon - Contributor

Richard Höchenberger - Contributor

Romain Quentin - Contributor

Stefan Appelhoff - Contributor

Teon L Brooks - Contributor

Anand Saini - Creator

Ariel Rokem - Creator

Austin J. Hurst - Creator

Bruno Hebling Vieira - Creator

Daniel McCloy - Creator

Denis Engemann - Creator

Diego Lozano-Soldevilla - Creator

Eduard Ort - Creator

Ethan Knights - Creator

Evgenii Kalenkovich - Creator

Franziska von Albedyll - Creator

Fu-Te Wong - Creator

Jean-Rémi King - Creator

Julia Guiomar Niso Galán - Creator

Mathieu Scheltienne - Creator

Moritz Gerster - Creator

Richard Koehler - Creator

Robert Luke - Creator

Scott Huberty - Creator

Simon Kern - Creator

Sin Kim - Creator

Sophie Herbst - Creator

Swastika Gupta - Creator

Thomas Donoghue - Creator

Yorguin José Mantilla Ramos - Creator

Columbia University - Contributor

Dalhousie University - Contributor

Heinrich Heine University Düsseldorf - Contributor

Higher School of Economics - Contributor

Indiana University - Contributor

Johns Hopkins University - Contributor

Jülich Research Centre - Contributor

Korea Advanced Institute of Science and Technology - Contributor

Macquarie University - Contributor

Max Planck Institute for Empirical Aesthetics - Contributor

Max Planck Institute for Human Cognitive and Brain Sciences - Contributor

Max Planck Institute for Human Development - Contributor

McGill University - Contributor

Mozilla Corporation - Contributor

NIH Molecular Imaging Branch - Contributor

University of Barcelona - Contributor

University of California, Berkeley - Contributor

University of Cambridge - Contributor

University of Graz - Contributor

University of Milan - Contributor

University of Oregon - Contributor

University of Washington - Contributor

University of Zurich - Contributor

Université Paris-Saclay - Contributor

Zenodo - Publisher

Other information

Fields of science

Medical engineering

Open access

Open

License

Other

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis - Research.fi