Hello MNE Team,
I am currently creating epochs conditions based on behavioral data. I dropped bad epochs using reject and I want to use epoch.selection to kick out the trials that are marked bad. I have block markers in my EEG recording that are stored as “IGNORED” in epoch.selection. Because of those markers my behavioral data and my epoch data index are not the same length. I couldn’t figure out a nice and clean way of getting rid of those block markers from my index in epoch.selection or epoch.drop_log.
Thank you so much for your help.