Synchronization and coherence resonance in chaotic neural networks |
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Authors: | Wang Mao-Sheng Hou Zhong-Huai and Xin Hou-Wen |
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Institution: | Department of Chemical Physics, University of Science and Technology of China, Hefei 230026, China; College of Physics and Electronic Information, Anhui Normal University, Wuhu 241000, China |
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Abstract: | Synchronization and coherence of chaotic Morris--Lecar (ML) neural networks have
been investigated by numerical methods. The synchronization of the neurons can be
enhanced by increasing the number of the shortcuts, even though all neurons are
chaotic when uncoupled. Moreover, the coherence of the neurons exhibits a
non-monotonic dependence on the density of shortcuts. There is an optimal number of
shortcuts at which the neurons' motion is most ordered, i.e. the order parameter
(the characteristic correlation time) that is introduced to measure the coherence of
the neurons has a maximum. These phenomena imply that stochastic shortcuts can tame
spatiotemporal chaos. The effects of the coupling strength have also been studied.
The value of the optimal number of shortcuts goes down as the coupling strength
increases. |
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Keywords: | synchronization coherence chaotic neuron complex networks |
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