Population density equations for stochastic processes with memory kernels

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Population density equations for stochastic processes with memory kernels

We present a method for solving population density equations (PDEs)–-a mean-field technique describing homogeneous populations of uncoupled neurons—where the populations can be subject to non-Markov noise for arbitrary distributions of jump sizes. The method combines recent developments in two diffe...

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Bibliographic Details
Main Authors:	Lai, Yi Ming, de Kamps, Marc
Format:	Article
Published:	American Physical Society 2017
Online Access:	https://eprints.nottingham.ac.uk/43904/

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