Presentation 2014-12-13
Competitive Learning Model for Freezing using Multiple Control Modules
Masato WARAGAI, Naohiro FUKUMURA,
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Abstract(in English) A model to control degrees of freedom (DOF) using modular structure is proposed for a problem of redundant degrees of freedom in human motor learning. This model changes different control modules of DOF depending on learning degree of achievement for Freezing and learns more effectively. However, learning order and the changing timing of control module are decided beforehand. In this study, we verify that competitive learning model reproduce freezing without explicit learning order and the changing timing of control module. As a result, this model showed that freezing was reproduced without them.
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Keyword(in English) Degrees of Freedom / Freezing / Modular Structure / Module Competitive / Softmax Selection
Paper # NC2014-46
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Committee NC
Conference Date 2014/12/6(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) Competitive Learning Model for Freezing using Multiple Control Modules
Sub Title (in English)
Keyword(1) Degrees of Freedom
Keyword(2) Freezing
Keyword(3) Modular Structure
Keyword(4) Module Competitive
Keyword(5) Softmax Selection
1st Author's Name Masato WARAGAI
1st Author's Affiliation Department of Informantion and Computer Sciences, Toyohashi University Of Technology()
2nd Author's Name Naohiro FUKUMURA
2nd Author's Affiliation Department of Informantion and Computer Sciences, Toyohashi University Of Technology
Date 2014-12-13
Paper # NC2014-46
Volume (vol) vol.114
Number (no) 362
Page pp.pp.-
#Pages 6
Date of Issue