Dynamical behavior of simplified Fitzhugh-Nagumo neural system driven by Lévy noise and Gaussian white noise

DOI10.1016/J.CHAOS.2019.06.031zbMath1448.92016OpenAlexW2955055926MaRDI QIDQ2213453

Jian-Guo Tan, Fang Wei, Linjie Wang, Yong-Feng Guo

Publication date: 1 December 2020

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2019.06.031

zbMATH Keywords

Lévy noisefirst-passage timenoise enhanced stabilityFitzHugh-Nagumo neural systemresonance activation

Mathematics Subject Classification ID

Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Dynamical systems in biology (37N25) Neural networks for/in biological studies, artificial life and related topics (92B20) Simulation of dynamical systems (37M05) Qualitative investigation and simulation of ordinary differential equation models (34C60)

Related Items (4)

Dynamical behavior of simplified FitzHugh–Nagumo neural system with time delay driven by Lévy noise ⋮ The study on dynamical behavior of Fitzhugh-Nagumo neural model under the co-excitation of non-Gaussian and colored noise ⋮ Most probable trajectory of a tumor model with immune response subjected to asymmetric Lévy noise ⋮ <scp>Event‐triggered</scp> adaptive stabilization control of stochastic nonlinear systems with unmodeled dynamics

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