DocumentCode
3629705
Title
Synchronization patterns in neural chains based on hyper-chaotic cells
Author
Nikola Buric;Kristina Todorovic;Nebojsa Vasovic;Andreja Samcovic
Author_Institution
Institute of Physics, Pregrevica 118, 11080, Zemun, Serbia
fYear
2008
Firstpage
53
Lastpage
56
Abstract
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
"Nearest neighbor searches","Chaos","Delay systems","Laser feedback","Neural networks","Neurofeedback","Displays","Nonlinear dynamical systems","Differential equations","Multidimensional systems"
Publisher
ieee
Conference_Titel
Neural Network Applications in Electrical Engineering, 2008. NEUREL 2008. 9th Symposium on
Print_ISBN
978-1-4244-2903-5
Type
conf
DOI
10.1109/NEUREL.2008.4685559
Filename
4685559
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