在状态依赖的时间延迟下,FitzHugh-Nagumo神经元模型中的振动共振
M Siewe Siewe1, S Rajasekar2, Mattia Coccolo3
1Laboratory of Mechanics, Materials and Structures, Department of Physics, Faculty of Science, University of Yaounde I, PO Box 812 Yaounde, Cameroon.
Chaos (Woodbury, N.Y.)
|February 3, 2025
概括
这项研究探讨了依赖状态的时间延迟如何影响非线性FitzHugh-Nagumo神经元模型中的共振. 延迟参数是控制振动和延迟引起的共振现象的关键.
科学领域:
- 计算神经科学是一种神经科学.
- 非线性动力学是一种非线性动力学.
- 生物物理学的生物物理.
背景情况:
- 菲茨休-纳古莫模型是神经元发射的简化数学表示.
- 了解共振现象对于破译神经元信号处理至关重要.
- 取决于状态的时间延迟可以显著改变非线性系统的动态.
研究的目的:
- 研究状态依赖时间延迟对振动共振和延迟诱导共振的影响.
- 分析非线性神经元模型中不对称潜力和双频强迫的作用.
- 通过检查低频信号的响应幅度来描述共振现象.
主要方法:
- 对非线性菲茨休-纳古莫神经元模型的数值分析.
- 在位置和速度组件中引入了依赖状态的时间延迟.
- 高频和低频信号强制的应用.
- 探索响应振幅以表征共振.
主要成果:
- 振动共振和多共振观察到状态依赖的时间延迟速度组件的较小幅度.
- 单峰振动共振与较大的高频激发幅度出现.
- 取决于状态的时间延迟位置和速度组件可以诱导延迟诱导的共振.
- 状态依赖的时间延迟速度组件对这两种共振类型都有关键的影响.
结论:
- 状态依赖的时间延迟是研究的神经元模型中振动和延迟诱导共振的关键控制因素.
- 延迟参数的振幅和组件 (位置/速度) 决定了共振的发生和特征.
- 这项研究强调了时间延迟对于理解复杂的神经元动态和信号处理的重要性.
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