• DocumentCode
    141456
  • Title

    A biological plausible Generalized Leaky Integrate-and-Fire neuron model

  • Author

    Zhenzhong Wang ; Lilin Guo ; Adjouadi, Malek

  • Author_Institution
    Dept. of Electr. Eng., Florida Int. Univ., Miami, FL, USA
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    6810
  • Lastpage
    6813
  • Abstract
    This study introduces a new Generalized Leaky Integrate-and-Fire (GLIF) neuron model. Unlike Normal Leaky Integrate-and-Fire (NLIF) models, the leaking resistor in the GLIF model equation is assumed to be variable, and an additional term would have the bias current added to the model equation in order to improve the accuracy. Adjusting the parameters defined for the leaking resistor and bias current, a GLIF model could be accurately matched to any Hodgkin-Huxley (HH) model and be able to reproduce plausible biological neuron behaviors.
  • Keywords
    differential equations; neural nets; neurophysiology; GLIF model equation; GLIF neuron model; Hodgkin-Huxley model; NLIF models; bias current; generalized leaky integrate-and-fire neuron model; leaking resistor; normal leaky integrate-and-fire models; plausible biological neuron behavior; Adaptation models; Biological system modeling; Biomembranes; Computational modeling; Mathematical model; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6945192
  • Filename
    6945192