• DocumentCode
    478239
  • Title

    The Synchronization Process and Segmentation of Patterns in Complex Network

  • Author

    Peng, J.H. ; Wu, Y.J. ; Yu, H.J.

  • Author_Institution
    Sch. of Inf. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai
  • Volume
    3
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    632
  • Lastpage
    636
  • Abstract
    The brain processes information with amazing speed. Neurons of different districts or even different cerebral hemispheres can reach synchronous firing almost simultaneously. The networks with local connections can not achieve such speed. The small-world networks discussed widely recent years may be one of the choices. Our researches manifest that the small-world networks can reach the synchronous firing rapidly. We also demonstrate that the model has the basic functions of pattern segmentation and feature binding. The time delays and the noise are presented in the model. We also used the mechanism of stochastic resonance.
  • Keywords
    complex networks; delays; image segmentation; neural nets; pattern classification; stochastic processes; synchronisation; brain processes information; cerebral hemispheres; complex network; feature binding; neurons; pattern segmentation; small-world networks; stochastic resonance; synchronization process; synchronous firing; time delays; Biological neural networks; Brain modeling; Complex networks; Computer networks; Couplings; Humans; Information science; Network topology; Neurons; Neuroscience; neural networks; segmentation; synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.920
  • Filename
    4667214