njt005/Machine-Learning-for-EEG-Dataset-Generalization

Various machine learning methods for feature selection, extraction, and classification are evaluated within individual subjects, EEG datasets, and across all EEG datasets. The goal of this research is to discover which methods produce invariant features across EEG datasets for accurate ErrP classification for real-time use in BCI sytems.