Nonlinear Theory and Its Applications, IEICE
Online ISSN : 2185-4106
ISSN-L : 2185-4106
Special section on Recent Progress in Nonlinear Theory and Its Applications
Effects of configuration of inhibited in-coming synaptic connections in sensitive response of chaotic wandering states
Toshiyuki HamadaJousuke KuroiwaTomohiro OdakaIzumi SuwaHaruhiko Shirai
Author information
JOURNAL FREE ACCESS

2013 Volume 4 Issue 4 Pages 419-429

Details
Abstract

In the present paper, we investigate the dependence on the configuration of inhibited in-coming synaptic connections in Nara & Davis chaotic neural network model related with the sensitive response of the chaotic wandering state to memory pattern fragments. It has been shown that when a memory pattern fragment was given, the chaotic wandering state in Nara & Davis chaotic neural network model suddenly converges into the target memory pattern with a high robustness. However, the potentiality depends on dynamical properties of the chaotic wandering states, which are affected with the configuration of the inhibited in-coming synaptic connections. Therefore, we investigate the sensitivity to memory pattern fragments for two types of the configuration, (i) which denotes randomly inhibited in-coming synaptic connections except for ones from memory pattern fragments referred as a partly random configuration hereafter and (ii) which defines randomly inhibited in-coming synaptic connections referred as a fully random configuration hereafter. From the computer experiments, the success ratio for the partly random configuration becomes much higher than the fully random ones, and the accessing time becomes shorter. In addition, from Lyapunov dimension, the system with the partly random configuration reveals higher developed chaos.

Content from these authors
© 2013 The Institute of Electronics, Information and Communication Engineers
Previous article Next article
feedback
Top