Presentation 2000/12/1
A Neural Computational Model of Motor Skill
Yoji UNO,
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Abstract(in English) The human is skilled in various motor tasks by training. From the view point of a computational theory, the skill of human movements is discussed. The research of a time-minimizing task in human reaching movements is introduced. The minimum movement-time trajectory is considerably concave toward a body and its velocity profile has two peaks. In psychophysical experiments, subjects generated roughly straight hand paths with bell-shaped velocity profiles in time-minimizing task. These features can be reproduced by the minimum commanded torque change criterion that requires the smoothness of motor command. The subjects could generate minimum movement-time trajectories when given a via-point and some instructions. The experimental results suggest that the brain cannot calculate the optimal trajectory according to the performance index except for the smoothness.
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Keyword(in English) motor skill / performance index / motor task / neural computation / optimal trajectory
Paper # MBE2000-118,NC2000-84
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Committee NC
Conference Date 2000/12/1(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 Neural Computational Model of Motor Skill
Sub Title (in English)
Keyword(1) motor skill
Keyword(2) performance index
Keyword(3) motor task
Keyword(4) neural computation
Keyword(5) optimal trajectory
1st Author's Name Yoji UNO
1st Author's Affiliation Department of Information and Computer Sciences, Toyohashi University of Technology()
Date 2000/12/1
Paper # MBE2000-118,NC2000-84
Volume (vol) vol.100
Number (no) 490
Page pp.pp.-
#Pages 8
Date of Issue