All steps adhere to FAIR principles (Findable, Accessible, Interoperable, Reproducible).
selected_events = ['stimulus/face', 'stimulus/car'] event_id_sel = k: v for k, v in event_id.items() if k in selected_events mne bids pipeline
make_dataset_description( path=bids_root, name="My MEG/EEG Study", authors=["Your Name", "Collaborator"], dataset_doi="", funding="Grant #", ) All steps adhere to FAIR principles (Findable, Accessible,
Once your data is BIDS-structured, loading is simple and consistent: Reproducible). selected_events = ['stimulus/face'
The MNE BIDS pipeline is a comprehensive workflow for processing and analyzing neurophysiological data, particularly electroencephalography (EEG) and magnetoencephalography (MEG) data. The pipeline is built on top of the Brain Imaging Data Structure (BIDS) standard, which provides a common framework for organizing and sharing neuroimaging data.