• 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