Review of Brain-Machine Interfaces Used in Neural Prosthetics with New Perspective on Somatosensory Feedback through Method of Signal Breakdown

Abstract

The brain-machine interface (BMI) used in neural prosthetics involves recording signals from neuron populations, decoding those signals using mathematical modeling algorithms, and translating the intended action into physical limb movement. Recently, somatosensory feedback has become the focus of many research groups given its ability in increased neural… (More)
DOI: 10.1155/2016/8956432

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@inproceedings{Vidal2016ReviewOB, title={Review of Brain-Machine Interfaces Used in Neural Prosthetics with New Perspective on Somatosensory Feedback through Method of Signal Breakdown}, author={Gabriel W. Vattendahl Vidal and Mathew L. Rynes and Zachary Kelliher and Shikha Jain Goodwin}, booktitle={Scientifica}, year={2016} }