2019
DOI: 10.1016/j.physa.2019.121785
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Lévy noise induced escape in the Morris–Lecar model

Abstract: The phenomenon of an excitable system producing a pulse under external or internal stimulation may be interpreted as a stochastic escape problem. This work addresses this issue by examining the Morris-Lecar neural model driven by symmetric α-stable Lévy motion (non-Gaussian noise) as well as Brownian motion (Gaussian noise). Two deterministic quantities: the first escape probability and the mean first exit time, are adopted to analyse the state transition from the resting state to the excited state and the sta… Show more

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Cited by 3 publications
(1 citation statement)
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“…23,24 Several authors investigated the exit phenomena in neurosystems under non-Gaussian Lé vy noise to disclose its excitation behavior. 25,26,27 Gao et al 28 designed an efficient and accurate numerical scheme to compute the mean exit time and escape probability for stochastic differential equations with non-Gaussian Lé vy noise. Zheng et al 19 developed a probabilistic framework to investigate the maximum likelihood climate change for an energy balance system under the influence of greenhouse effect and non-Gaussian  -stable Lé vy motions.…”
Section: Introductionmentioning
confidence: 99%
“…23,24 Several authors investigated the exit phenomena in neurosystems under non-Gaussian Lé vy noise to disclose its excitation behavior. 25,26,27 Gao et al 28 designed an efficient and accurate numerical scheme to compute the mean exit time and escape probability for stochastic differential equations with non-Gaussian Lé vy noise. Zheng et al 19 developed a probabilistic framework to investigate the maximum likelihood climate change for an energy balance system under the influence of greenhouse effect and non-Gaussian  -stable Lé vy motions.…”
Section: Introductionmentioning
confidence: 99%