在延迟合的FitzHugh-Nagumo系统中,同步模式转换的能量依赖是由混乱活动驱动的
Xuening Li1, Dong Yu1, Lijian Yang1
1Department of Physics, Central China Normal University, Wuhan, 430079 China.
Cognitive neurodynamics
|November 25, 2024
概括
这项研究探讨了混沌活动如何影响费茨休-纳古莫模型中的神经元同步和能量. 研究人员发现,改变混乱电流强度,合强度和时间延迟可以控制同步模式和哈密尔顿能量.
科学领域:
- 计算神经科学是一种神经科学.
- 复杂系统动力学 复杂系统动力学
背景情况:
- 神经元活动依赖于能量吸收和消耗.
- 了解神经网络中的能量动态对于理解大脑功能至关重要.
研究的目的:
- 在延迟合的FitzHugh-Nagumo (FHN) 神经系统中研究同步模式转换.
- 分析哈密尔顿能量的依赖性在混乱强迫下同步模式.
主要方法:
- 模拟了一个由混乱电流驱动的延迟合的FHN神经系统.
- 不同的混沌电流强度,合强度和时间延迟.
- 分析了同步模式和哈密尔顿能量.
主要成果:
- 确定了不同的同步模式:同步,反相和混乱状态.
- 证明哈密尔顿能量取决于同步模式.
- 显示时间延迟可以诱导双位稳定性和间歇性同步/反相状态.
- 在多神经元网络中证实了类似的同步过渡.
结论:
- 神经元同步模式和能量可以通过外部混乱强迫和系统参数进行调整.
- 时间延迟在诱导复杂的动态,如 bistability,起着重要的作用.
- 这些发现提供了对神经元同步背后的能量改变机制的见解.
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