Neuroprosthetic Decoder Training as Imitation Learning

Abstract

Neuroprosthetic brain-computer interfaces function via an algorithm which decodes neural activity of the user into movements of an end effector, such as a cursor or robotic arm. In practice, the decoder is often learned by updating its parameters while the user performs a task. When the user's intention is not directly observable, recent methods have… (More)
DOI: 10.1371/journal.pcbi.1004948

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