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AN ASSOCIATIVE NETWORK WITH CHAOTIC NEURONS AND DYNAMIC SYNAPSES

ZHIJIE WANG

College of Information Science and Technology, Donghua University, Shanghai 201620, P. R. China

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HONG FAN

Institute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan

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KAZUYUKI AIHARA

Institute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan

ERATO, JST, Uehara 2-23-5, Shibuya, Tokyo 151-0064, Japan

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https://doi.org/10.1142/S0218127407018889Cited by:8 (Source: Crossref)

Abstract

Chaotic neurons are interconnected with each other through a matrix of dynamic synaptic weights to constitute an associative network. First, the dynamics of the two chaotic neurons connected with dynamic synapses is analyzed. A quick memory switching phenomenon in the Associative Network with Chaotic Neurons and Dynamic Synapses (ANCNDS) is then demonstrated. It is further discovered that the memory retrieval frequency of the network among stored patterns distributes more uniformly, and is much higher than that of a chaotic network without dynamic synapses. Moreover, the network acts as a peculiar pattern recognition system when applied with external stimulations. If the external stimulation is close to only one stored pattern, the network recalls the stored pattern exactly. On the other hand, if the external stimulation shares similarity with two or several stored patterns, the network transits among these related stored patterns. When the external stimulation does not resemble any stored patterns, the network wanders among all the stored patterns.

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