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Published November 23, 2021 | Version v0.9
Software Open

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. Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
  • 15. Université Paris-Saclay, Inria, CEA, Palaiseau, France
  • 16. 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.

Files

mne-tools/mne-bids-v0.9.zip

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