Single-trial EEG RSVP classification using convolutional neural networks

This paper explores a new deep CNN architecture for generalized multi-class, single-trial EEG classification across subjects and compares classification performance from the generalized CNN architecture trained across all subjects to the individualized XDAWN, HDCA, and CSP neural classifiers which are trained and tested on single subjects.