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Population density equations for stochastic processes with memory kernels
2017
Physical review. E
We present a novel method for solving population density equations (PDEs), where the populations can be subject to non-Markov noise for arbitrary distributions of jump sizes. The method combines recent developments in two different disciplines that traditionally have had limited interaction: computational neuroscience and the theory of random networks. The method uses a geometric binning scheme, based on the method of characteristics, to capture the deterministic neurodynamics of the
doi:10.1103/physreve.95.062125
pmid:28709222
fatcat:laha47ik4zhatmiao26lohpypm