A Power-Efficient Brain-Machine Interface System With a Sub-mw Feature Extraction and Decoding ASIC Demonstrated in Nonhuman Primates
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Michigan, Ann Arbor, MI, USA
2. Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
Funder
NIH
NSF
Craig H. Neilsen Foundation
A. Alfred Taubman Medical Research Institute
MCubed
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Biomedical Engineering
Link
https://ieeexplore.ieee.org/ielam/4156126/9827619/9779542-aam.pdf
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