Summary
2007 International Symposium on Nonlinear Theory and its Applications
2007
Session Number:19AM1-B
Session:
Number:19AM1-B-3
Synchronization in Chaotic Spiking Neural Networks Using An Extended CSM-Schame
Dai Maegawa, Kenji Murao, Kenji Ohno, Shao Jia,
pp.369-372
Publication Date:2007/9/16
Online ISSN:2188-5079
DOI:10.34385/proc.41.19AM1-B-3
Summary:
We report on numerical studies of synchronization phenomena in spiking neural networks with chaotic behavior. We use the 3D Hindmarsh-Rose (HR) model as a typical spiking neuron. The HR models are coupled by a simple extension of the standard CSM scheme, where the standard CSM scheme is known as a bio-inspired powerful synchronization scheme for limit cycles but not effective for chaotic oscillations. In this paper we investigate the coupled HR-models with the extended CSM scheme and show this spiking neural network with different model parameters can achieve synchronization for not only limit cycles but also for chaotic oscillations under some condition of couplings. An analog electronic neuron is also presented for realizing the spiking neural network with the extended CSM couplings and the performance was proved by SPICE.