Presentation	1998/3/12 Chaotic Synchronization with Analog Neural Networks Kazumi YOSHIDA,
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Abstract(in English)	We have designed a nonlinear oscillator with recurrent neural networks called URAN_n(n-variable unlimited recurrent adjustable networks)as a mathematical model for the synchronized oscillation phenomena inside cerebral cortex.URAN_n is an extended version of analog neural networks.Some coupled oscillator system with chaotically oscillating URAN_n indicates the entrainment and phase synchronization phenomenon.We have realized the coexistence state composed from in-phase and out-of-phase synchronization between URAN_n chaos oscillators.We have also observed a phenomenon which would be inferred as the vanishment of the entrainment and synchronization.Results obtained here suggests the possibility to represent a minimal model of binding scheme using URAN_n coupled oscillator system.
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Keyword(in English)	analog neural networks / chaotic synchronization / coupled oscillator system / binding scheme.
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Conference Information
Committee	NLP
Conference Date	1998/3/12(1days)
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Paper Information
Registration To	Nonlinear Problems (NLP)
Language	JPN
Title (in Japanese)	(See Japanese page)
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Title (in English)	Chaotic Synchronization with Analog Neural Networks
Sub Title (in English)
Keyword(1)	analog neural networks
Keyword(2)	chaotic synchronization
Keyword(3)	coupled oscillator system
Keyword(4)	binding scheme.
1st Author's Name	Kazumi YOSHIDA
1st Author's Affiliation	Electronics and Infomation Systems Laboratory, NISSAN Research Center.()
Date	1998/3/12
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Volume (vol)	vol.97
Number (no)	591
Page	pp.pp.-
#Pages	10
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