Int J Neural Syst - A generalized Leaky Integrate-and-Fire neuron model with fast implementation method.

Tópicos

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Resumo

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.

Resumo Limpo

studi introduc new general leaki integrateandfir glif neuron model variabl leak resistor bias current order reproduc accur membran voltag dynam biolog neuron accuraci model ensur adjust paramet statist properti hodgkinhuxley model output speed enhanc introduc general exponenti move averag method convert parameter kernel function precalcul lookup tabl base analyt solut dynam equat glif model

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