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Synchronization Patterns in Neural Chains based on Hyper-Chaotic Cells

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Authors
Burić, Nikola
Todorović, Kristina
Vasović, Nebojša
Samcović, Andreja
Conference object (Published version)
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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:
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-
Publisher:
  • IEEE, New York
Funding / projects:
  • Ministry of Science - 1443

DOI: 10.1109/NEUREL.2008.4685559

WoS: 000264857900011

Scopus: 2-s2.0-58049146265
[ Google Scholar ]
URI
https://farfar.pharmacy.bg.ac.rs/handle/123456789/1044
Collections
  • Radovi istraživača / Researchers’ publications
Institution/Community
Pharmacy
TY  - CONF
AU  - Burić, Nikola
AU  - Todorović, Kristina
AU  - Vasović, Nebojša
AU  - Samcović, Andreja
PY  - 2008
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/1044
AB  - 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.
PB  - IEEE, New York
C3  - 9th Symposium on Neural Network Applications in Electrical Engineering, NEUREL 2008 Proceedings
T1  - Synchronization Patterns in Neural Chains based on Hyper-Chaotic Cells
SP  - 51
DO  - 10.1109/NEUREL.2008.4685559
ER  - 
@conference{
author = "Burić, Nikola and Todorović, Kristina and Vasović, Nebojša and Samcović, Andreja",
year = "2008",
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.",
publisher = "IEEE, New York",
journal = "9th Symposium on Neural Network Applications in Electrical Engineering, NEUREL 2008 Proceedings",
title = "Synchronization Patterns in Neural Chains based on Hyper-Chaotic Cells",
pages = "51",
doi = "10.1109/NEUREL.2008.4685559"
}
Burić, N., Todorović, K., Vasović, N.,& Samcović, A.. (2008). Synchronization Patterns in Neural Chains based on Hyper-Chaotic Cells. in 9th Symposium on Neural Network Applications in Electrical Engineering, NEUREL 2008 Proceedings
IEEE, New York., 51.
https://doi.org/10.1109/NEUREL.2008.4685559
Burić N, Todorović K, Vasović N, Samcović A. Synchronization Patterns in Neural Chains based on Hyper-Chaotic Cells. in 9th Symposium on Neural Network Applications in Electrical Engineering, NEUREL 2008 Proceedings. 2008;:51.
doi:10.1109/NEUREL.2008.4685559 .
Burić, Nikola, Todorović, Kristina, Vasović, Nebojša, Samcović, Andreja, "Synchronization Patterns in Neural Chains based on Hyper-Chaotic Cells" in 9th Symposium on Neural Network Applications in Electrical Engineering, NEUREL 2008 Proceedings (2008):51,
https://doi.org/10.1109/NEUREL.2008.4685559 . .

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