Dynamic memorization characteristics in neural networks with different neuronal dynamics.

Dynamic memorization characteristics in neural networks with different neuronal dynamics. Research Abstract Details 

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Dynamic memorization characteristics in neural networks with different neuronal dynamics. Abstract Text:

Naofumi Katada,Haruhiko Nishimura,Naofumi Katada,Haruhiko Nishimura,

We introduce a stimulus-response scheme that supports plastic variation of synapse weights in neural networks, and analyze how memory formation evolves under external stimulation. In so doing, chaotic networks and stochastic networks that have very different dynamics are compared. Experimental results suggest that chaotic activity remarkably outperforms stochastic activity in stimulus-response memorization. This seems to be indicative of effectiveness of the chaos in dynamic learning by stimulus-response scheme oriented to natural learning.

Dynamic memorization characteristics in neural networks with different neuronal dynamics. Publishing Authors By Initials

N Katada,H Nishimura,N Katada,H Nishimura,

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Dynamic memorization characteristics in neural networks with different neuronal dynamics. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: International journal of neural systems

VOLUME: 17

Page Numbers: 161-70

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ISSN: 0129-0657

DAY: 20

MONTH: Jun

YEAR: 2007

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LANGUAGE: eng

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Grant and Affiliation Information for Dynamic memorization characteristics in neural networks with different neuronal dynamics.

AFFILIATION: Graduate School of Applied Informatics, University of Hyogo, Chuo-ku, Kobe, Hyogo 650-0044, Japan. nkatada@hyogo-c.ed.jp

Country: Singapore

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MEDLINETA: Int J Neural Syst

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