title: A generalized Leaky Integrate-and-Fire neuron model with fast implementation method.
abstract: 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.
authors.affiliation: Center for Advanced Technology and Education, Florida International University, 10555 W Flagler St, Miami, FL 33174, USA.
authors.forename: Zhenzhong
authors.initials: Z
authors.lastname: Wang
authors.forename: Lilin
authors.initials: L
authors.lastname: Guo
authors.forename: Malek
authors.initials: M
authors.lastname: Adjouadi
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009431:Neural Conduction; D009474:Neurons / Q000502:physiology*; D017711:Nonlinear Dynamics