Brain-Machine Interfaces: The Perception-Action Closed Loop

A brain-machine interface (BMI) is about transforming neural activity into action and sensation into perception (Figure 1). In a BMI system, neural signals recorded from the brain are fed into a decoding algorithm that translates these signals into motor outputs to control a variety of practical devices for motor-disabled people [1]-[5]. Feedback from the prosthetic device, conveyed to the user either via normal sensory pathways or directly through brain stimulation, establishes a closed control loop.


Published in:
IEEE Systems, Man, and Cybernetics Magazine, 1, 1, 6-8
Year:
2015
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 Record created 2015-04-27, last modified 2018-09-13

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