Deep learning for hybrid EEG-fNIRS brain–computer interface: application to motor imagery classification

Abstract

BCI performances can be significantly improved by employing multi-modal recordings that provide electrical and hemodynamic brain activity information, in combination with advanced non-linear deep learning classification procedures.