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Synchronization Patterns in Neural Chains based on Hyper-Chaotic Cells
dc.creator | Burić, Nikola | |
dc.creator | Todorović, Kristina | |
dc.creator | Vasović, Nebojša | |
dc.creator | Samcović, Andreja | |
dc.date.accessioned | 2019-09-02T11:12:44Z | |
dc.date.available | 2019-09-02T11:12:44Z | |
dc.date.issued | 2008 | |
dc.identifier.uri | https://farfar.pharmacy.bg.ac.rs/handle/123456789/1044 | |
dc.description.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. | en |
dc.publisher | IEEE, New York | |
dc.relation | Ministry of Science - 1443 | |
dc.rights | restrictedAccess | |
dc.source | 9th Symposium on Neural Network Applications in Electrical Engineering, NEUREL 2008 Proceedings | |
dc.subject | Time lag | en |
dc.subject | synchronization | en |
dc.subject | hyper-chaotic system | en |
dc.subject | Ikeda model | en |
dc.subject | Mackey-Glass model | en |
dc.title | Synchronization Patterns in Neural Chains based on Hyper-Chaotic Cells | en |
dc.type | conferenceObject | |
dc.rights.license | ARR | |
dcterms.abstract | Самцовић, Aндреја; Тодоровић, Кристина; Бурић, Никола; Васовић, Небојша; | |
dc.citation.spage | 51 | |
dc.citation.other | : 51- | |
dc.identifier.wos | 000264857900011 | |
dc.identifier.doi | 10.1109/NEUREL.2008.4685559 | |
dc.identifier.scopus | 2-s2.0-58049146265 | |
dc.type.version | publishedVersion |
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