Bounded noise-induced coherence resonance in a single Rulkov neuron

Based on the chaotic Rulkov model, we investigate the impacts of bounded noise on firing activity of the neural system. First, the chaotic neural model and bounded noise are introduced and analyzed. Then, different firing patterns of the neural model driven by bounded noise are present. Finally, tak...

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Bibliographic Details
Published in:Indian journal of physics 2019-11, Vol.93 (11), p.1477-1484
Main Authors: Li, Dongxi, Zheng, Yawen, Yang, Yachao
Format: Article
Language:English
Subjects:
Astrophysics and Astroparticles
Chaos theory
Coherence
Noise
Noise (mathematics)
Noise intensity
OriginalPaper
Physics
Physics and Astronomy
Regularity
Resonance
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Summary:Based on the chaotic Rulkov model, we investigate the impacts of bounded noise on firing activity of the neural system. First, the chaotic neural model and bounded noise are introduced and analyzed. Then, different firing patterns of the neural model driven by bounded noise are present. Finally, taking the coherence parameter R to measure the regularity of firing behavior, it is demonstrated that the regularity of neural membrane potential could achieve optimal by adjusting either the intensity of bounded noise or its frequency to an appropriate value, which means that the phenomenon of coherence resonance occurs. Moreover, it is found that coherence resonance can also be induced by another kind of bounded noise, called sine-Wiener noise. The results of this paper are beneficial to explore the functional role of noise on neural system.
ISSN:0973-1458
0974-9845
DOI:10.1007/s12648-019-01409-7