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

1. Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany
2. Department of Cognitive Sciences, Macquarie University, Sydney, Australia
3. Mozilla
4. Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland
5. Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, Maryland 20892
6. UC Berkeley, Project Jupyter
7. Institut du cerveau et de la moelle épinière (ICM), Paris, France
8. Department of Biomedical and Clinical Sciences 'L. Sacco', University of Milan, Milan, Italy
9. Institute for Learning and Brain Sciences, University of Washington, Seattle, WA, USA
10. Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Germany
11. Max-Planck-Institute for Empirical Aesthetics, Frankfurt a.M., Germany
12. Institute of Psychology, University of Graz, Austria
13. University of Oregon, Eugene OR, USA
14. Université Paris-Saclay, Inria, CEA, Palaiseau, France
15. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA

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.