Presentation | 2007-03-15 Spatio-temporal Decomposition of Internal Models in Motor Learning under Mixed Dynamic Environments Naoki TOMI, Manabu GOUKO, Koji ITO, Toshiyuki KONDO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Humans can behave adaptively in the different dynamical conditions. In order to make adaptive behaviors, it is required to adjust the kinematic and dynamic relations among the brain and environment according to the task. Recent studies have shown that humans can acquire a neural representation of the relation between motor command and sensory feedback, i.e. learn an internal model of the environment dynamics. Then, we can compensate for the dynamical perturbation in a feedforward manner. The present paper discusses whether humans can identify simple physical characteristics of dynamics from the mixed |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Motor adaptation / Internal model / Reaching movement / Decomposition of internal models |
Paper # | NC2006-168 |
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Committee | NC |
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Conference Date | 2007/3/8(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Spatio-temporal Decomposition of Internal Models in Motor Learning under Mixed Dynamic Environments |
Sub Title (in English) | |
Keyword(1) | Motor adaptation |
Keyword(2) | Internal model |
Keyword(3) | Reaching movement |
Keyword(4) | Decomposition of internal models |
1st Author's Name | Naoki TOMI |
1st Author's Affiliation | Department of Computational Intelligence and System Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology() |
2nd Author's Name | Manabu GOUKO |
2nd Author's Affiliation | Department of Computational Intelligence and System Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology |
3rd Author's Name | Koji ITO |
3rd Author's Affiliation | Department of Computational Intelligence and System Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology |
4th Author's Name | Toshiyuki KONDO |
4th Author's Affiliation | Department of Computer, Information and Communication Sciences, Tokyo University of Agriculture and Technology |
Date | 2007-03-15 |
Paper # | NC2006-168 |
Volume (vol) | vol.106 |
Number (no) | 589 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |