Hypoelliptic stochastic Fitzhugh-Nagumo neuronal model: mixing, up-crossing and estimation of the spike rate
type: Item
instance of: scholarly article
title: Hypoelliptic stochastic Fitzhugh-Nagumo neuronal model: mixing, up-crossing and estimation of the spike rate
zbMATH Open document ID: 1406.92087
DOI: 10.1214/17-AAP1355
author: Adeline Samson
author: José R. León
published in: The Annals of Applied Probability
publication date: 2018-11-07T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.aoap/1533780272
Mathematics Subject Classification ID: 92C20
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 60H30
Mathematics Subject Classification ID: 60J60
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6974750
zbMATH Keywords: hypoelliptic diffusion
zbMATH Keywords: Fitzhugh-Nagumo model
zbMATH Keywords: invariant density
zbMATH Keywords: nonparametric estimation
zbMATH Keywords: up-crossings
zbMATH Keywords: pulse rate
zbMATH Keywords: spike rate estimation
MaRDI profile type: Publication
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OpenAlex ID: W2615417224
description: scientific article; zbMATH DE number 6974750