NeurosciencebioRxivPreprint
Tracking and optimizing human performance using deep reinforcement learning in closed-loop behavioral- and neurofeedback: a proof of concept
This paper applies deep reinforcement learning to improve human sustained attention in a neurofeedback setting using simulated and real EEG data.
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