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Improved Integral Equation Solution for the First Passage Time of Leaky Integrate-and-Fire Neurons

机译:改进的积分方程解的泄漏积分和消防神经元的首出时

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摘要

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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  • 期刊名称 other
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  • 年(卷),期 -1(23),2
  • 年度 -1
  • 页码 421–434
  • 总页数 12
  • 原文格式 PDF
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