Adam Li

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Just notes for the steps to integrate the underlying data structures for the `ICA` class in MNE-Python: 1. Maintain a fork of FIFF-constants w/ constants we want to add: -...

For that matter, bidsification of as many datasets as possible, but organized semantically according to the criterion that was specified in https://github.com/jacobf18/iclabel-python/issues/5#issuecomment-1076431272 (i.e. different recording montages, hardware, etc.)

Some things to think about: - upper bound on the number of seconds included in an ICA decomposition (e.g. a minute)

> It would be good to centralize those datasets, any idea where? The ANT Neuro one is small (less than 1 Gb) but the EGI one is above 30 Gb....

Other datasets: https://github.com/agramfort/artifact-learn/tree/master/1-%20extract%20basic%20info%20from%20databases looks like we can probably download online?

For more data and inspiration, we can look at this review paper: https://iopscience.iop.org/article/10.1088/1741-2560/12/3/031001/pdf

For references: mara -> BIDS: https://gist.github.com/mscheltienne/680f46336aec8a0408f30952c3d72e8d ANT to BIDS: https://gist.github.com/mscheltienne/fe3dcc7dafef7539018a6a00ba73afed

See: https://github.com/adam2392/improve_icalabel for now scripts centralized into one repo.

Some open questions that we can defer to later of course: - how do we annotate components without the raw data? - the issue in mne-python is that it requires...

@anandsaini024 have you preprocessed the ANTS dataset already? I am going to use one of the subjects as a test subject for the hs student to QA his annotations. If...