A generalized Leaky Integrate-and-Fire neuron model with fast implementation method

Int J Neural Syst. 2014 Aug;24(5):1440004. doi: 10.1142/S0129065714400048. Epub 2014 Apr 28.


This study introduces a new Generalized Leaky Integrate-and-Fire (GLIF) neuron model with variable leaking resistor and bias current in order to reproduce accurately the membrane voltage dynamics of a biological neuron. The accuracy of this model is ensured by adjusting its parameters to the statistical properties of the Hodgkin-Huxley model outputs; while the speed is enhanced by introducing a Generalized Exponential Moving Average method that converts the parameterized kernel functions into pre-calculated lookup tables based on an analytic solution of the dynamic equations of the GLIF model.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Action Potentials / physiology*
  • Animals
  • Computer Simulation
  • Humans
  • Models, Neurological*
  • Nerve Net / physiology*
  • Neural Conduction
  • Neurons / physiology*
  • Nonlinear Dynamics