Synchronization Patterns in Neural Chains based on Hyper-Chaotic Cells
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Synchronization patterns in chains of N bi-directionally delayed coupled systems with delayed feedback are studied in this paper. Each system is hyper-chaotic when decoupled from the chain. It is shown that chains with odd or even number of cites N display different spatial patterns of stable exact synchronization. When N is odd the only stable pattern of exact synchronization is among all of the units. When N is even, next to the nearest neighbors could become exactly synchronized, with the dynamics of the nearest neighbors related in a more complicated way. Sufficiently strong coupling leads to the nearest neighbor synchronization also for even N. No other patterns have been observed.
Keywords:Time lag / synchronization / hyper-chaotic system / Ikeda model / Mackey-Glass model
Source:9th Symposium on Neural Network Applications in Electrical Engineering, NEUREL 2008 Proceedings, 2008, 51-
- IEEE, New York
- Ministry of Science - 1443