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
Link To Document :
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