Asynchronous pulse neural network model for VLSI implementation

Mitsuru Hanagata; Yoshihiko Horio; Kazuyuki Aihara

Asynchronous pulse neural network model for VLSI implementation

Mitsuru Hanagata, Yoshihiko Horio, Kazuyuki Aihara

Research output: Contribution to journal › Article › peer-review

Abstract

An asynchronous pulse neural 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.

Original language	English
Pages (from-to)	1853-1859
Number of pages	7
Journal	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume	E81-A
Issue number	9
Publication status	Published - 1998 Jan 1
Externally published	Yes

Keywords

Dynamical cell assembly
Neural networks
Spatio-temporal coding

ASJC Scopus subject areas

Signal Processing
Computer Graphics and Computer-Aided Design
Electrical and Electronic Engineering
Applied Mathematics

Cite this

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AB - An asynchronous pulse neural 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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KW - Spatio-temporal coding

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Asynchronous pulse neural network model for VLSI implementation

Abstract

Keywords

ASJC Scopus subject areas

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