Presentation | 1999/2/5 Neural network simulation of learning through award/punishment performed in the biological brain Iren Valova, Yukio Kosugi, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this work we attempt to create a model of higher level information processing inherent to the brain. For this purpose we combine the controlling features of the limbic system involoved in maintaining the body homeostasis,with the predictive, self-reward based nature of the learning mechanisms in mammals and humans. We show some preliminary consideration for solving a simple object recognition problem through reward/punishment strategy, thus modeling the behavior of biological neural systems. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Limibic system / amygdala / Hebbian rule / neural networks |
Paper # | NC98-84 |
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Committee | NC |
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Conference Date | 1999/2/5(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Neural network simulation of learning through award/punishment performed in the biological brain |
Sub Title (in English) | |
Keyword(1) | Limibic system |
Keyword(2) | amygdala |
Keyword(3) | Hebbian rule |
Keyword(4) | neural networks |
1st Author's Name | Iren Valova |
1st Author's Affiliation | Tokyo Institute of Technology,Interdisciplinary Graduate School of Scicnce and Engineering() |
2nd Author's Name | Yukio Kosugi |
2nd Author's Affiliation | Tokyo Institute of Technology,Interdisciplinary Graduate School of Scicnce and Engineering |
Date | 1999/2/5 |
Paper # | NC98-84 |
Volume (vol) | vol.98 |
Number (no) | 577 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |