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Controlling precise movement with stochastic signals
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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. doi:10.1007/s00422-010-0377-7 ISSN 0340-1200.
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Official URL: http://dx.doi.org/10.1007/s00422-010-0377-7
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 | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Centre for Scientific Computing Faculty of Science, Engineering and Medicine > Science > Computer Science |
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Journal or Publication Title: | Biological Cybernetics | ||||
Publisher: | Springer | ||||
ISSN: | 0340-1200 | ||||
Official Date: | May 2010 | ||||
Dates: |
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Volume: | Vol.102 | ||||
Number: | No.5 | ||||
Number of Pages: | 10 | ||||
Page Range: | pp. 441-450 | ||||
DOI: | 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 |
Data sourced from Thomson Reuters' Web of Knowledge
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