Comment by celltalk
6 days ago
As far as I understand the underlying model is not multimodal. Maybe a quite naive question but can't we improve the performance by a joint embedding of EEG and MEG data? If it scales with log-linear data, maybe it would also improve with other data as well.
My guess is that multimodal training could be useful as a pretraining strategy