Stochastic resonance in FitzHugh–Nagumo neural system driven by correlated non-Gaussian noise and Gaussian noise

DOI10.1142/S0217979217502642zbMath1457.92009OpenAlexW2739692575MaRDI QIDQ5242106

Yong-Feng Guo, Jian-Guo Tan, Fang Wei, Bei Xi

Publication date: 5 November 2019

Published in: International Journal of Modern Physics B (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0217979217502642

zbMATH Keywords

Fokker-Planck equationstochastic resonancenon-Gaussian noiseFitzhugh-Nagumo neural system

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) White noise theory (60H40) Fokker-Planck equations (35Q84)

Related Items (1)

Non-Gaussian noise and autapse-induced inverse stochastic resonance in bistable Izhikevich neural system under electromagnetic induction

Cites Work

• Stochastic resonance in neuron models
• Noise in ecosystems: a short review
• Determination of Firing Times for the Stochastic Fitzhugh-Nagumo Neuronal Model
• Synchronized firing of FitzHugh–Nagumo neurons by noise
• Enhancement of stochastic resonance: the role of non Gaussian noises
• Effective Markovian approximation for non-Gaussian noises: A path integral approach

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