Presentation 2004/11/20
A Neural Network Model for Extracting the Useful Information for a Task by the Sensory-Motor Integration
Hiroshi ITO, Naohiro FUKUMURA, Yoji UNO,
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Abstract(in English) A human realizes smooth motion by the feedforward motor control depending on the estimation of suitable motor information through internal representation about an object from sensory information. In this study, we propose a neural network model that estimate suitable motor information through internal representation from an integration of the sequence of sensory information and motor information. In order to apply this model for a task that a robot kicks a rolling ball to a desired direction, we performed the computer simulation. The result shows that the model extracts the feature from sensory and motor information as the internal representation. Then the model can estimate suitable motor information using the internal representation.
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Keyword(in English) neural network model / sensory-motor integration / information compression / internal representation / relaxation algorithm
Paper # NC2004-106
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Committee NC
Conference Date 2004/11/20(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 Network Model for Extracting the Useful Information for a Task by the Sensory-Motor Integration
Sub Title (in English)
Keyword(1) neural network model
Keyword(2) sensory-motor integration
Keyword(3) information compression
Keyword(4) internal representation
Keyword(5) relaxation algorithm
1st Author's Name Hiroshi ITO
1st Author's Affiliation Toyohashi University of Technology()
2nd Author's Name Naohiro FUKUMURA
2nd Author's Affiliation Toyohashi University of Technology
3rd Author's Name Yoji UNO
3rd Author's Affiliation Toyohashi University of Technology
Date 2004/11/20
Paper # NC2004-106
Volume (vol) vol.104
Number (no) 474
Page pp.pp.-
#Pages 6
Date of Issue