MerlinDumeur

Just letting you know, I managed to get it to work on Jupyterlab 3.0.5, with all the packages (itkwidgets, ipywidgets, ipyevents, ipykernel, pyvista) installed using the latest version from conda-forge....

If this is because the checks fail, I think it would be an easy fix, but it's probably best to keep autoreject separate for now. It work fine for me...

I looked at how mne handles the computation of the source PSD for raw data (`mne.minimum_norm.compute_source_psd`), and it appears that it just creates an Epoch instance with only 1 epoch...

yes that's true but that will be always be a problem anyway. If I can't epoch my data because I need long recordings, then there's not much I can about...

Ok so if I understand correctly the options are: - Annotate bad segments in the raw data, then compute ICA on the raw data, ignoring bad segments. - Compute the...

yes that's what I meant. If there's any way I can help with adding this to the pipeline, I'd be happy to because I will need it.

I'll get on it then

> shall we push the flux jump detection code into mne in an annotate_flux_jump function as discussed last time? Can we talk about this during office hours?

I'll need some more time to have a PR ready anyway

> @MerlinDumeur has coded some stuff early a few months back as part of the multifracs project and could probably use some help to integrate it to your efforts I...