|
|||||
|
|
Coherent Response in a Chaotic Neural Network |
|
| Authors: | Nishimura Haruhiko Katada Naofumi Aihara Kazuyuki |
| Affiliation: | (1) Studies of Information Science, Hyogo University of Education, 942-1 Yashiro-cho, Hyogo, 673-1494, Japan;(2) Studies of Information Science, Hyogo University of Education, 942-1 Yashiro-cho, Hyogo, 673-1494, Japan;(3) The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113, Japan;(4) CREST, Japan Science ad Technology Corporation (JST), 4-1-8 Hon-cho, Kawaguchi, Saitama, 332, Japan |
| 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. |
| Keywords: | chaos coherence noise nonlinear recurrent neural network refractoriness stochastic resonance |
| 本文献已被 SpringerLink 等数据库收录！ | |
