Vibrational resonance in the FitzHugh–Nagumo neuron model under state-dependent time delay

We propose a nonlinear FitzHugh-Nagumo neuronal model with an asymmetric potential driven by both a high-frequency signal and a low-frequency signal. Our numerical analysis focuses on the influence of a state-dependent time delay on vibrational resonance and delay-induced resonance phenomena. The response amplitude at the low-frequency signal is explored to characterize the vibrational resonance and delay-induced resonance. Our results show that for smaller values of the amplitude of the state-dependent time-delay velocity component, vibrational resonance and multi-resonance occur in the neuronal model. For large values of the high-frequency excitation amplitude, vibrational resonance appears with one peak. Furthermore, we observe a change in the response when the amplitude of the state-dependent time-delay velocity component increases. In addition, we analyze how the state-dependent time-delay position and velocity components can give birth to delay-induced resonance for separate and together. The key findings of this work demonstrate that the state-dependent time-delay velocity component plays a crucial role in both phenomena. Specifically, the delay parameter serves as a critical control factor, capable of triggering the onset of the two resonances.

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Publication Details

Journal
Chaos An Interdisciplinary Journal of Nonlinear Science
Published
2025-02-01
DOI
https://doi.org/10.1063/5.0242814
Citations
6
Primary Topic
stochastic dynamics and bifurcation
Type
article
Field-Weighted Citation Impact
7.94

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article

Vibrational resonance in the FitzHugh–Nagumo neuron model under state-dependent time delay

S. Rajasekar, Miguel A. F. Sanjuán, Mattia Coccolo, M. Siewe Siewe
6 citations
Chaos An Interdisciplinary Journal of Nonlinear Science
stochastic dynamics and bifurcation
7.94
article

Vibrational resonance in the FitzHugh–Nagumo neuron model under state-dependent time delay

S. Rajasekar, Miguel A. F. Sanjuán, Mattia Coccolo, M. Siewe Siewe
article en
6 citations

Abstract

We propose a nonlinear FitzHugh-Nagumo neuronal model with an asymmetric potential driven by both a high-frequency signal and a low-frequency signal. Our numerical analysis focuses on the influence of a state-dependent time delay on vibrational resonance and delay-induced resonance phenomena. The response amplitude at the low-frequency signal is explored to characterize the vibrational resonance and delay-induced resonance. Our results show that for smaller values of the amplitude of the state-dependent time-delay velocity component, vibrational resonance and multi-resonance occur in the neuronal model. For large values of the high-frequency excitation amplitude, vibrational resonance appears with one peak. Furthermore, we observe a change in the response when the amplitude of the state-dependent time-delay velocity component increases. In addition, we analyze how the state-dependent time-delay position and velocity components can give birth to delay-induced resonance for separate and together. The key findings of this work demonstrate that the state-dependent time-delay velocity component plays a crucial role in both phenomena. Specifically, the delay parameter serves as a critical control factor, capable of triggering the onset of the two resonances.

Chaos An Interdisciplinary Journal of Nonlinear ScienceVol. 35(2)
Université de Yaoundé I (CM), Universidad Rey Juan Carlos (ES), Bharathidasan University (IN)
Universidad Rey Juan Carlos, European Regional Development Fund
Openalex Percentile: Top 3%
stochastic dynamics and bifurcation
7.94
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Vibrational resonance in the FitzHugh–Nagumo neuron model under state-dependent time delay — S. Rajasekar, Miguel A. F. Sanjuán, et al. · Chaos An Interdisciplinary Journal of Nonlinear Science (2025) | TGRS Research Map | TGRS