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 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.
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Keyword(in English) Limibic system / amygdala / Hebbian rule / neural networks
Paper # NC98-84
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Conference Information
Committee NC
Conference Date 1999/2/5(1days)
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Registration To Neurocomputing (NC)
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