Presentation 2006-03-17
A Study on Optimality of Motor Command : Task Optimization and Sparse Representation
Yutaka SAKAGUCHI,
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Abstract(in English) The present report addresses the problem on motor command representation. Based on the framework where every motor command pattern is represented by a weighted-sum of base patterns with time-shifts, the author discusses the optimality of parameters (weights and time-shifts) and basis, in relation to the recent feature extraction model of visual system. Included topics are synergy decomposition, task optimization and sparse coding. Based on this disuccsion, the author proposes a new optimization criterion consisting of a "task optimization" term and a "parameter preference" term, and points out that this criterion can be utilized for solving the motor planning problem and for explaining characteristic features of human motor behavior. A computer-simulated experiment using a single-joint arm model shows that the generated trajectory satisfies Fitts'law, supporting the above view.
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Keyword(in English) motor representation / basis extraction / synergy decomposition / task optimization / sparse coding / motor planning
Paper # NC2005-158
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Committee NC
Conference Date 2006/3/10(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Optimality of Motor Command : Task Optimization and Sparse Representation
Sub Title (in English)
Keyword(1) motor representation
Keyword(2) basis extraction
Keyword(3) synergy decomposition
Keyword(4) task optimization
Keyword(5) sparse coding
Keyword(6) motor planning
1st Author's Name Yutaka SAKAGUCHI
1st Author's Affiliation University of Electro-Communications, Graduate School of Information Systems()
Date 2006-03-17
Paper # NC2005-158
Volume (vol) vol.105
Number (no) 659
Page pp.pp.-
#Pages 6
Date of Issue