• DocumentCode
    478235
  • Title

    Neural Synchronization Models and the Potential Function of Phases

  • Author

    Li, Xiaomeng ; Fang, Fukang

  • Author_Institution
    Beijing Univ. of Posts & Telecommun., Beijing
  • Volume
    3
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    593
  • Lastpage
    596
  • Abstract
    Synchronization is familiar in the different layers of neural systems, which is important for realizing the neural functions. So it is worth talking about the cause of neural synchronization. In this paper we set two groups of neural synchronization models using "the numerical approaching", and found that the potential function of phases could be used to describe the evolving pattern of synchronization neurons.
  • Keywords
    neural nets; neurophysiology; physiological models; synchronisation; neural functions; neural synchronization models; numerical approaching; phase potential function; synchronization neurons; Analytical models; Computational modeling; Equations; Neurons; Numerical models; Telecommunication computing; Synchronization; potential function; the numerical approaching;
  • 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.2008.216
  • Filename
    4667206
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=478235