• DocumentCode
    1567131
  • Title

    A New Method To Set Neural Synchronization Models

  • Author

    Li, Xiaomeng ; Ding, Yiming ; Fang, Fukang

  • Author_Institution
    Beijing Normal Univ.
  • Volume
    3
  • fYear
    2005
  • Firstpage
    1917
  • Lastpage
    1920
  • Abstract
    Synchronization is an important issue in neuroscience. It is still a problem in computational neuroscience to set and analyze synchronization models, especially the model with complex synaptic equations and burst type neurons. We try to use a new mathematical method and apply a Lyapunov function to the searching for the right synaptic equation, which would make the potential of the given neurons synchronize in finite time
  • Keywords
    Lyapunov methods; neural nets; synchronisation; Lyapunov function; burst type neurons; complex synaptic equations; computational neuroscience; neural synchronization models; Bifurcation; Biological neural networks; Biological systems; Delay; Equations; Information processing; Ion accelerators; Limit-cycles; Neurons; Neuroscience;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9422-4
  • Type

    conf

  • DOI
    10.1109/ICNNB.2005.1614999
  • Filename
    1614999
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1567131