Li-Yuan Ma

Deep Learning for Scalp-Level Nonlinear Source Separation in Electroencephalogram: A Comparative Evaluation of Spatiotemporal Architectures

Electroencephalography (EEG) is a common technique to measure field potentials of various brain regions, and event-related potentials (ERPs) reflect stimulus- or response-locked brain responses that are spatially distributed across the scalp due to volume conduction. However, accurately capturing stimulus specific ERPs...