Associative dynamics in chaotic neural networks

T. Ikeguchi, K. Aihara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The authors apply a model of a chaotic neural network composed of neuron models with chaotic dynamics to associative memory, the stored patterns of which are mutually orthogonal, and analyze its dynamical behavior quantitatively. In order to clarify the chaotic dynamics, they calculate the Lyapunov spectrum, the temporal changes of the distance between the output pattern of the chaotic neural network and the stored patterns, and the local divergence rate. It is demonstrated that dynamical associative memory can be realized with the chaotic neural network.

Original languageEnglish
Title of host publication91 IEEE Int Jt Conf Neural Networks IJCNN 91
PublisherPubl by IEEE
Pages2282-2287
Number of pages6
ISBN (Print)0780302273
Publication statusPublished - 1 Dec 1991
Event1991 IEEE International Joint Conference on Neural Networks - IJCNN '91 - Singapore, Singapore
Duration: 18 Nov 199121 Nov 1991

Publication series

Name91 IEEE Int Jt Conf Neural Networks IJCNN 91

Conference

Conference1991 IEEE International Joint Conference on Neural Networks - IJCNN '91
CitySingapore, Singapore
Period18/11/9121/11/91

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Cite this

Ikeguchi, T., & Aihara, K. (1991). Associative dynamics in chaotic neural networks. In 91 IEEE Int Jt Conf Neural Networks IJCNN 91 (pp. 2282-2287). (91 IEEE Int Jt Conf Neural Networks IJCNN 91). Publ by IEEE.