Brain-Machine Interfaces: Combining Decoder Design and Neural Adaptation

Brain-Machine Interfaces: Combining Decoder Design and Neural Adaptation - 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.