Neural subspaces of imagined movements in parietal cortex remain stable over several years in humans.

Autor: Bashford L; Division of Biology and Biological Engineering, and T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA., Rosenthal I; Division of Biology and Biological Engineering, and T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA., Kellis S; Division of Biology and Biological Engineering, and T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA., Bjånes D; Division of Biology and Biological Engineering, and T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA., Pejsa K; Division of Biology and Biological Engineering, and T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA., Brunton BW; Department of Biology, University of Washington, Seattle, WA, USA., Andersen RA; Division of Biology and Biological Engineering, and T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA.
Jazyk: angličtina
Zdroj: BioRxiv : the preprint server for biology [bioRxiv] 2023 Jul 07. Date of Electronic Publication: 2023 Jul 07.
DOI: 10.1101/2023.07.05.547767
Abstrakt: A crucial goal in brain-machine interfacing is long-term stability of neural decoding performance, ideally without regular retraining. Here we demonstrate stable neural decoding over several years in two human participants, achieved by latent subspace alignment of multi-unit intracortical recordings in posterior parietal cortex. These results can be practically applied to significantly expand the longevity and generalizability of future movement decoding devices.
Databáze: MEDLINE