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Neural control of motor prostheses


Scherberger, H (2009). Neural control of motor prostheses. Current Opinion in Neurobiology, 19(6):629-633.

Abstract

Neural interfaces (NIs) for motor control have recently become increasingly advanced. This has been possible owing to substantial progress in our understanding of the cortical motor system as well as the development of appropriate decoding methods in both non-human primates and paralyzed patients. So far, neural interfaces have controlled mainly computer screens and robotic arms. An important advancement has been the demonstration of neural interfaces that can directly control the subject's muscles. Furthermore, it has been shown that cortical plasticity alone can optimize neural interface performance in the absence of machine learning, which emphasizes the role of the brain for neural interface adaptation. Future motor prostheses may use also sensory feedback to enhance their control capabilities. Copyright 2009 Elsevier Ltd. All rights reserved.

Neural interfaces (NIs) for motor control have recently become increasingly advanced. This has been possible owing to substantial progress in our understanding of the cortical motor system as well as the development of appropriate decoding methods in both non-human primates and paralyzed patients. So far, neural interfaces have controlled mainly computer screens and robotic arms. An important advancement has been the demonstration of neural interfaces that can directly control the subject's muscles. Furthermore, it has been shown that cortical plasticity alone can optimize neural interface performance in the absence of machine learning, which emphasizes the role of the brain for neural interface adaptation. Future motor prostheses may use also sensory feedback to enhance their control capabilities. Copyright 2009 Elsevier Ltd. All rights reserved.

Citations

20 citations in Web of Science®
23 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Date:2009
Deposited On:07 Mar 2010 09:23
Last Modified:05 Apr 2016 14:00
Publisher:Elsevier
ISSN:0959-4388
Publisher DOI:10.1016/j.conb.2009.10.008
Related URLs:http://www.ini.uzh.ch/node/24045 (Organisation)
PubMed ID:19896364

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