Presentation 2004/6/18
A hierarchical learning model for basic locomotor patterns
Tomoko HIOKI, Jun NISHII,
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Abstract(in English) Most animal locomotor patterns present cyclic movement, which are produced by properly patterned firing of neurons of the CPG (Central Pattern Generator) in the central nervous system. Although a firing pattern of the CPG is genetically determined at some level, learning and coordination of an adequate firing pattern would be necessary to respond to the change of body parameters due to growth and injury. In this study, we propose a motor learning model that a higher center learns an appropriate motor command which works as a supervisory signal for the CPG to learn an appropriate firing pattern. We applied this model to the learning control of one-dimensional hopping robot. As a result, higher center and the CPG learned proper motor commands for the target motions.
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Keyword(in English) Central pattern generator / Learning / Motor control / Hierarchical architecture
Paper # NC2004-36
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Committee NC
Conference Date 2004/6/18(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A hierarchical learning model for basic locomotor patterns
Sub Title (in English)
Keyword(1) Central pattern generator
Keyword(2) Learning
Keyword(3) Motor control
Keyword(4) Hierarchical architecture
1st Author's Name Tomoko HIOKI
1st Author's Affiliation Faculty of Science, Yamaguchi University()
2nd Author's Name Jun NISHII
2nd Author's Affiliation Faculty of Science, Yamaguchi University
Date 2004/6/18
Paper # NC2004-36
Volume (vol) vol.104
Number (no) 140
Page pp.pp.-
#Pages 6
Date of Issue