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Published October 8, 2022 | Version v0.11
Software Open

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

Creators

  • 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. Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
  • 15. Department of Psychology, University of Washington, Seattle WA, USA
  • 16. Institute for Learning & Brain Sciences, University of Washington, Seattle WA, USA
  • 17. Dalhousie University, Halifax, Nova Scotia
  • 18. Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
  • 19. Institute of Experimental Psychology, Heinrich Heine University Düsseldorf, Germany
  • 20. Medical Research Council Cognition & Brain Sciences Unit, University of Cambridge
  • 21. HSE University, Centre for Cognition and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Russian Federation
  • 22. Facebook AI Research, Paris, France
  • 23. Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA
  • 24. Central Institute of Mental Health, Mannheim, Germany
  • 25. Korea Advanced Institute of Science and Technology
  • 26. NeuroSpin, CEA, DRF/Joliot, INSERM, Cognitive Neuroimaging Unit, Université Paris-Saclay, 91191Gif/Yvette, France
  • 27. Department of Biomedical Engineering, Columbia University
  • 28. Grupo Neuropsicología y Conducta, Universidad de Antioquia, Medellín, Colombia
  • 29. McGill University, Montréal, QC, Canada
  • 30. Human Neuroscience Platform, Fondation Campus Biotech Geneva, Geneva, Switzerland
  • 31. Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich, Switzerland
  • 32. Roche Pharma Research and Early Development (pRED), Basel, Switzerland
  • 33. Université Paris-Saclay, Inria, CEA, Palaiseau, France
  • 34. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA

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.

Notes

Please cite this software using the metadata from 'preferred-citation' in the CITATION.cff file.

Files

mne-tools/mne-bids-v0.11.zip

Files (1.3 MB)

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Additional details

Related works

Is supplement to
https://github.com/mne-tools/mne-bids/tree/v0.11 (URL)