Analyzing Connectivity between MEG Channels using PLV

This is a short update to my earlier post on MEG data classification. As a short recap, I managed to get data classification accuracy up to 60-65% - but some of the classes were classified almost systematically incorrectly while two of the classes were categorized almost flawlessly. The classifier was based on classification of interaction … Continue reading Analyzing Connectivity between MEG Channels using PLV

MEG Signal Classification using PLV and Neural Networks

Despite I've written two posts on modelling MEG signals, I haven't yet written a single post on my attempts to classify the signals. I lately experimented with a new approach and got some results that seemed to be worth documenting. The high-level idea is to first determine which brain regions were interacting and pass this information … Continue reading MEG Signal Classification using PLV and Neural Networks