Presentation 2009-01-22
Noise-Induced Properties in Chaos Neuron Systems
Haruhiko NISHIMURA, Hironori FUJISAWA, Naofumi KATADA, Kazuyuki AIHARA,
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Abstract(in English) In nonlinear dynamical systems, noise can lead to qualitative changes in their behaviors, not quantitative changes. We study the effects of noise on the nonlinear chaotic neuron and its auto-associative network in the state having chaos. We show that noise induces the systems producing more order and the coherence of their noise-induced order becomes maximal for a certain noise amplitude. This effect is indicated to be a transition from chaotic behavior to ordered (non-chaotic) behavior by evaluating the Lyapunov exponent with noise.
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Keyword(in English) chaos / neuron / noise / induced order / neural network
Paper # CAS2008-73,NLP2008-103
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Committee CAS
Conference Date 2009/1/15(1days)
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Registration To Circuits and Systems (CAS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Noise-Induced Properties in Chaos Neuron Systems
Sub Title (in English)
Keyword(1) chaos
Keyword(2) neuron
Keyword(3) noise
Keyword(4) induced order
Keyword(5) neural network
1st Author's Name Haruhiko NISHIMURA
1st Author's Affiliation Graduate School of Applied Informatics, University of Hyogo()
2nd Author's Name Hironori FUJISAWA
2nd Author's Affiliation Graduate School of Applied Informatics, University of Hyogo
3rd Author's Name Naofumi KATADA
3rd Author's Affiliation Graduate School of Applied Informatics, University of Hyogo
4th Author's Name Kazuyuki AIHARA
4th Author's Affiliation Institute of Industrial Science, University of Tokyo:ERATO Aihara Complexity Modelling Project, JST
Date 2009-01-22
Paper # CAS2008-73,NLP2008-103
Volume (vol) vol.108
Number (no) 388
Page pp.pp.-
#Pages 6
Date of Issue