Oscillatory neural network for dynamical associative memory

Jiu Chao Feng; Chi Kong Tse

Oscillatory neural network for dynamical associative memory

Jiu Chao Feng
, Chi Kong Tse

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

Abstract

A discrete time oscillatory neural network (DTONN) for the dynamical associative memory is proposed in this paper. The network reveals fruitful dynamical behaviors when applied to associative memory for hand-written character patterns. It can recall the stored non-orthogonal patterns from the network when it is activated by an initial pattern contaminated by noise. The network also demonstrates the synchronous oscillations and spatio-temporal chaos during the auto-evolutionary procedure with time.

Original language	English
Journal	Advances in Modeling and Analysis B
Volume	41
Issue number	1
Publication status	Published - 1 Dec 1999

ASJC Scopus subject areas

Hardware and Architecture
Industrial and Manufacturing Engineering
Applied Mathematics
Modelling and Simulation

Cite this

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title = "Oscillatory neural network for dynamical associative memory",

abstract = "A discrete time oscillatory neural network (DTONN) for the dynamical associative memory is proposed in this paper. The network reveals fruitful dynamical behaviors when applied to associative memory for hand-written character patterns. It can recall the stored non-orthogonal patterns from the network when it is activated by an initial pattern contaminated by noise. The network also demonstrates the synchronous oscillations and spatio-temporal chaos during the auto-evolutionary procedure with time.",

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AB - A discrete time oscillatory neural network (DTONN) for the dynamical associative memory is proposed in this paper. The network reveals fruitful dynamical behaviors when applied to associative memory for hand-written character patterns. It can recall the stored non-orthogonal patterns from the network when it is activated by an initial pattern contaminated by noise. The network also demonstrates the synchronous oscillations and spatio-temporal chaos during the auto-evolutionary procedure with time.

UR - https://www.scopus.com/pages/publications/0033365554

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JO - Advances in Modeling and Analysis B

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IS - 1

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Oscillatory neural network for dynamical associative memory

Abstract

ASJC Scopus subject areas

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