A GENERALIZED LEAKY INTEGRATE-AND-FIRE NEURON MODEL WITH FAST IMPLEMENTATION METHOD

作者：Wang Zhenzhong; Guo Lilin; Adjouadi Malek^*

来源：International Journal of Neural Systems, 2014, 24(5): 1440004.

DOI：10.1142/S0129065714400048

• Exponential moving average
• Hodgkin-Huxley model
• leaky integrate-and-fire
• neuron model

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.

• 出版日期2014-8