DocumentCode :
3295842
Title :
Motor planning as an optimization of command representation
Author :
Ikeda, Shiro ; Sakaguchi, Yutaka
Author_Institution :
Dept. of Math. Anal. & Stat. Inference, Inst. of Stat. Math., Tachikawa, Japan
fYear :
2009
fDate :
15-18 Dec. 2009
Firstpage :
4499
Lastpage :
4504
Abstract :
A fundamental problem in the field of motor neuroscience is to understand how our brain generates appropriate motor commands for precise movements effortlessly. The problem seems difficult since there are infinitely many possible trajectories and our musculo-skeltal system is generally redundant. We focus on the motor command representation and show that a simple strategy can solve the problem for a planar two-joints arm model. We also discuss the emergence of the muscle synergies, which may enable us to make natural motor behaviors with smaller degrees of freedom.
Keywords :
brain models; neuromuscular stimulation; command representation optimization; motor command representation; motor neuroscience; motor planning; muscle synergies; musculo skeltal system; natural motor behaviors; planar two-joints arm model; Cost function; Humans; Mathematical analysis; Motor drives; Muscles; Neuroscience; Planar motors; Proposals; Torque; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
ISSN :
0191-2216
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2009.5399672
Filename :
5399672
Link To Document :
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