DiscoverStanford Neurosciences InstituteToward Clinically-Viable Brain-Machine Interfaces - Krishna Shenoy
Toward Clinically-Viable Brain-Machine Interfaces - Krishna Shenoy

Toward Clinically-Viable Brain-Machine Interfaces - Krishna Shenoy

Update: 2017-03-01
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Professor Krishna Shenoy, Professor of Electrical Engineering at Stanford, discusses how Brain Machine Interfaces (BMIs) converts movement intentions from neurons in the brain into control signals for guiding prosthetic arms and computer cursors.
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Toward Clinically-Viable Brain-Machine Interfaces - Krishna Shenoy

Toward Clinically-Viable Brain-Machine Interfaces - Krishna Shenoy

Stanford Neurosciences Institute