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Lévy noise induced stochastic resonance in an FHN model 被引量:14

Lévy noise induced stochastic resonance in an FHN model
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摘要 This paper aims to investigate the stochastic resonance(SR) in an Fitz Hugh-Nagumo(FHN) model with an additive Lévy noise numerically. The non-Gaussian Lévy noise is a kind of general random noise which is different from the usual Gaussian noise, and it has small fluctuations with the unpredictable jumps to describe the random fluctuations in an FHN model. SR is determined by the signal-to-noise ratio(SNR), and the numerical simulation results show the occurrence of the SR phenomena in the given FHN system. The influence of various parameters of the Lévy noise and the FHN model on the SR will be examined, and some mechanisms of the Lévy noise-induced SR are presented which are different from those of the Gaussian noise. This paper aims to investigate the stochastic resonance (SR) in an FitzHugh-Nagumo (FHN) model with an additive LEvy noise numerically. The non-Gaussian LEvy noise is a kind of general random noise which is different from the usual Gaussian noise, and it has small fluctuations with the unpredictable jumps to describe the random fluctuations in an FHN model. SR is determined by the signal-to-noise ratio (SNR), and the numerical simulation results show the occurrence of the SR phenomena in the given FHN system. The influence of various parameters of the LEvy noise and the FHN model on the SR will be exam- ined, and some mechanisms of the LEvy noise-induced SR are presented which are different from those of the Gaussian noise.
出处 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2016年第3期371-375,共5页 中国科学(技术科学英文版)
基金 supported by the the National Natural Science Foundation of China(Grant Nos.11372247&11472224) the NPU Foundation for Undergraduate Graduation Design
关键词 高斯噪声 随机共振 模型 诱导 数值模拟 随机波动 随机噪声 共振现象 Levy noise, stochastic resonance, signal-to-noise ratio, FHN model
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  • 1DUAN LiXia1, LU QiShao2 & CHENG DaiZhan3 1 College of Science, North China University of Technology, Beijing 100144, China,2 School of Science, Beijing University of Aeronautics and Astronautics, Beijing 100191, China,3 Institute of Systems Science, Chinese Academy of Sciences, Beijing 100190, China.Bursting of Morris-Lecar neuronal model with current-feedback control[J].Science China(Technological Sciences),2009,52(3):771-781. 被引量:5
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