Presentation	1998/2/5 Asynchronous Pulse Neural Network Model for VLSI Implementation mitsuru Hanagata, Yoshihiko Horio, Kazuyuki Aihara,
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Abstract(in English)	An asynchronous pulse neueral network model which is suitable for VLSI implementation is proposed. The model neuron can function as a coincidence detector as well as an integrator depending on its internal time-constant relative to the external one, and show complex dynamical behavior including chaotic responses. A network with the proposed neurons can process spatio-temporal coded information through dynamical cell assemblies with functional synaptic connections.
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Keyword(in English)	neural networks / spatio-temporal coding / dynamical cell assembly
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Conference Information
Committee	NC
Conference Date	1998/2/5(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	JPN
Title (in Japanese)	(See Japanese page)
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Title (in English)	Asynchronous Pulse Neural Network Model for VLSI Implementation
Sub Title (in English)
Keyword(1)	neural networks
Keyword(2)	spatio-temporal coding
Keyword(3)	dynamical cell assembly
1st Author's Name	mitsuru Hanagata
1st Author's Affiliation	Department of Electronic Engineering, Tokyo Denki University()
2nd Author's Name	Yoshihiko Horio
2nd Author's Affiliation	Department of Electronic Engineering, Tokyo Denki University
3rd Author's Name	Kazuyuki Aihara
3rd Author's Affiliation	Graduate School of Engineering, The University of Tokyo and CRET, Japan Science and Technology Co.(JST)
Date	1998/2/5
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Volume (vol)	vol.97
Number (no)	532
Page	pp.pp.-
#Pages	7
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