Coherent Response in a Chaotic Neural Network

Authors:
Haruhiko Nishimura;Naofumi Katada;Kazuyuki Aihara
Affiliations:
Studies of Information Science, Hyogo University of Education, 942-1 Yashiro-cho, Hyogo 673-1494, Japan. E-mail: haru@life.hyogo-u.ac.jp;Studies of Information Science, Hyogo University of Education, 942-1 Yashiro-cho, Hyogo 673-1494, Japan. E-mail: katada@life.hyogo-u.ac.jp;The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113, Japan, and CREST, Japan Science ad Technology Corporation (JST), 4-1-8 Hon-cho, Kawaguchi, Saitama 332, Japan. E-mail: aihara@sa ...
Venue:
Neural Processing Letters
Year:
2000

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Abstract

We set up a signal-driven scheme of the chaotic neural network with the coupling constants corresponding to certain information, and investigate the stochastic resonance-like effects under its deterministic dynamics, comparing with the conventional case of Hopfield network with stochastic noise. It is shown that the chaotic neural network can enhance weak subthreshold signals and have higher coherence abilities between stimulus and response than those attained by the conventional stochastic model.