Summary
International Symposium on Nonlinear Theory and Its Applications
2016
Session Number:A3L-G
Session:
Number:A3L-G-5
External Input-Facilitated Onset of Chaos in Recurrent Neural Networks
Muyuan Xu, Yuichi Katori, Takashi Kohno, Kazuyuki Aihara,
pp.-
Publication Date:2016/11/27
Online ISSN:2188-5079
DOI:10.34385/proc.48.A3L-G-5
PDF download (183.6KB)
Summary:
We investigate the transition from a fixed point state to chaos in a recurrent neural network. We focus on the intensity of external input to the network and show that the transition occurs when the external input increases. On the other hand, the standard deviation of the external input seems to have little impact on the transition.