Rossoni, Enrico, Kang, Jing, Ph.D. and Feng, Jianfeng. (2010) Controlling precise movement with stochastic signals. Biological Cybernetics, Vol.102 (No.5). pp. 441-450. ISSN 0340-1200

Full text not available from this repository.

Abstract

In a noisy system, such as the nervous system, can movements be precisely controlled as experimentally demonstrated? We point out that the existing theory of motor control fails to provide viable solutions. However, by adopting a generalized approach to the nonconvex optimization problem with the Young measure theory, we show that a precise movement control is possible even with stochastic control signals. Numerical results clearly demonstrate that a considerable significant improvement of movement precisions is achieved. Our generalized approach proposes a new way to solve optimization problems in biological systems when a precise control is needed.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions:	Faculty of Science > Centre for Scientific Computing Faculty of Science > Computer Science
Journal or Publication Title:	Biological Cybernetics
Publisher:	Springer
ISSN:	0340-1200
Date:	May 2010
Volume:	Vol.102
Number:	No.5
Number of Pages:	10
Page Range:	pp. 441-450
Identification Number:	10.1007/s00422-010-0377-7
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Funder:	CARMEN (EPSRC, UK), BION (EU), Institute of Advance Study
URI:	http://wrap.warwick.ac.uk/id/eprint/6123

Data sourced from Thomson Reuters' Web of Knowledge

Request changes to a record

Actions (login required)

View Item