共振(粒子物理)
振幅
信号(编程语言)
物理
非线性共振
群时延和相位时延
职位(财务)
非线性系统
控制理论(社会学)
核磁共振
原子物理学
计算机科学
光学
量子力学
电信
控制(管理)
带宽(计算)
财务
人工智能
经济
程序设计语言
作者
M. Siewe Siewe,S. Rajasekar,Mattia Coccolo,Miguel A. F. Sanjuán
出处
期刊:Chaos
[American Institute of Physics]
日期:2025-02-01
卷期号:35 (2)
摘要
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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