Hi all,
I have succesfully run classification analyses with my EEG data using the SlidingEstimator and GeneralizingEstimator methods and a linear classifier. Now I would like to test which channels are the most informative ones for the models. I have checked some of the sklearn functions but I’m not sure if I can apply those directly to the MNE data. Anyone has done something similar and has some ideas on how to proceed?
Thanks!