Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification-Reference-Cited by-同舟云学术

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Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification

Published:2020-11-09 Issue:1 Volume:24 Page:140-149
ISSN:1097-6256
Container-title:Nature Neuroscience
language:en
Short-container-title:Nat Neurosci

Author:

Sani Omid G.^ORCID,Abbaspourazad Hamidreza^ORCID,Wong Yan T.,Pesaran Bijan^ORCID,Shanechi Maryam M.^ORCID

Funder

University of Southern California Annenberg Fellowship

U.S. Department of Health & Human Services | National Institutes of Health

United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office

United States Department of Defense | United States Navy | Office of Naval Research

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

General Neuroscience

Link

http://www.nature.com/articles/s41593-020-00733-0.pdf

Reference84 articles.

1. Schwartz, A. B., Cui, X. T., Weber, D. J. & Moran, D. W. Brain-controlled interfaces: movement restoration with neural prosthetics. Neuron 52, 205–220 (2006).

2. Shenoy, K. V., Sahani, M. & Churchland, M. M. Cortical control of arm movements: a dynamical systems perspective. Annu. Rev. Neurosci. 36, 337–359 (2013).

3. Shanechi, M. M. Brain–machine interface control algorithms. IEEE Trans. Neural Syst. Rehabil. Eng. 25, 1725–1734 (2017).

4. Shanechi, M. M. Brain–machine interfaces from motor to mood. Nat. Neurosci. 22, 1554–1564 (2019).

5. Herff, C. & Schultz, T. Automatic speech recognition from neural signals: a focused review. Front. Neurosci. 10, 429 (2016).

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