Controlling precise movement with stochastic signals
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 0340-1200Full text not available from this repository.
Official URL: http://dx.doi.org/10.1007/s00422-010-0377-7
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|
|Official Date:||May 2010|
|Number of Pages:||10|
|Page Range:||pp. 441-450|
|Access rights to Published version:||Restricted or Subscription Access|
|Funder:||CARMEN (EPSRC, UK), BION (EU), Institute of Advance Study|
Actions (login required)