Literature DB >> 21105825

Improved integral equation solution for the first passage time of leaky integrate-and-fire neurons.

Yi Dong1, Stefan Mihalas, Ernst Niebur.   

Abstract

An accurate calculation of the first passage time probability density (FPTPD) is essential for computing the likelihood of solutions of the stochastic leaky integrate-and-fire model. The previously proposed numerical calculation of the FPTPD based on the integral equation method discretizes the probability current of the voltage crossing the threshold. While the method is accurate for high noise levels, we show that it results in large numerical errors for small noise. The problem is solved by analytically computing, in each time bin, the mean probability current. Efficiency is further improved by identifying and ignoring time bins with negligible mean probability current.

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Year:  2010        PMID: 21105825      PMCID: PMC3157940          DOI: 10.1162/NECO_a_00078

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  14 in total

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  3 in total

1.  A phase transition in the first passage of a Brownian process through a fluctuating boundary with implications for neural coding.

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Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-27       Impact factor: 11.205

2.  Estimating parameters of generalized integrate-and-fire neurons from the maximum likelihood of spike trains.

Authors:  Yi Dong; Stefan Mihalas; Alexander Russell; Ralph Etienne-Cummings; Ernst Niebur
Journal:  Neural Comput       Date:  2011-08-18       Impact factor: 2.026

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