Conditional generative adversarial networks applied to EEG data can inform about the inter-relation of antagonistic behaviors on a neural level

Abstract

An artificial intelligence algorithm trained on EEG recordings can be used to predict brain dynamics underpinning motor inhibition processes using neurophysiological information from motor execution.