Autoencoder-Method-for-EEG-Classification

The above code is used for classifying the EEG signals acquired based on familiar and unfamilar face stimuli to the subject. It a Autoencoder based model that used for classifying whether the subject was shown an image of an person that is familiar to them or image of an stranger. We got an classification accuracy of 82.21% on this model.

Sample data is given along with the model.