• DocumentCode
    2709209
  • Title

    The renormalization of neuronal dynamics can enhance temporal synchronization among synaptically coupled neurons

  • Author

    Jibril, Ghassan Omar ; Güler, Mariti

  • Author_Institution
    Dept. of Comput. Eng., Eastern Mediterranean Univ., Mersin, Turkey
  • fYear
    2009
  • fDate
    14-19 June 2009
  • Firstpage
    1433
  • Lastpage
    1438
  • Abstract
    Led by the presence of a multiple number of gates in an ion channel, it was recently predicted that the equations of motion for the neuronal dynamics acquire some renormalization terms which play a significant role in the dynamics for smaller membrane sizes [1]. In this study, we consider the resultant computational neuron model of the above approach, and investigate numerically how the renormalization corrections affect the temporal synchronization of the respective discharges of such electrically coupled two neurons. A major finding is that the presence of the renormalization terms can lead to faster synchronization.
  • Keywords
    neural nets; ion channel; neuronal dynamics; renormalization; synaptically coupled neurons; temporal synchronization; Biomembranes; Couplings; Equations; Fluctuations; Neural networks; Neurons; Oscillators; Stochastic resonance; Voltage; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2009. IJCNN 2009. International Joint Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-3548-7
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2009.5178766
  • Filename
    5178766