A generalized leaky Integrate-and-Fire Neuron Model with Fast Implementation Method
نویسندگان
چکیده
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.
منابع مشابه
Statistical Analysis of Neural Data: the Integrate-and-fire Neuron and Other Continuous-time State-space Models *
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عنوان ژورنال:
- International journal of neural systems
دوره 24 5 شماره
صفحات -
تاریخ انتشار 2014