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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | neural network model / sensory-motor integration / information compression / internal representation / relaxation algorithm |
Paper # | NC2004-106 |
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Committee | NC |
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Conference Date | 2004/11/20(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) | 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 |