Brain-Machine Interfaces: Combining Decoder Design and Neural Adaptation

720 views · Published 19 November 2014 · 5:25 · Indexed 8 November 2026

Channel: Cell Press · 2014 · Science & Technology

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Shenoy and Carmena introduce the concept of a brain-machine interface, how to design a decoder algorithm to convert neural activity into prosthetic control signals, and how to engage neural adaptation and plasticity. Combining decoder design and neural adaptation may lead to better BMI performance, robustness, and generalization. For more information, see Shenoy and Carmena in Neuron 84(4), http://www.cell.com/neuron/abstract/S0896-6273(14)00739-9.

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