分数符合神经元系统的动力学和同步控制
1Clinical Engineering Research and Implementation Center (ERKAM), Erciyes University, 38030 Kayseri, Turkey.
Cognitive neurodynamics
|August 22, 2024
概括
这项研究分析了符合FitzHugh-Nagumo神经元模型. 减少分数顺序会增加响应频率,帮助更快的同步,这可以通过使用Lyapunov控制来实现,无论合强度如何.
科学领域:
- 神经科学是一个神经科学.
- 计算生物学 计算生物学
- 混沌理论 混沌理论
背景情况:
- 菲茨休-纳古莫模型是神经元动力学的简化数学模型.
- 符合衍生品为建模复杂系统提供了一种新的方法.
- 了解神经元的合和同步对于大脑功能至关重要.
研究的目的:
- 为了研究符合FitzHugh-Nagumo神经元模型的动态行为.
- 分析分数顺序和合强度对神经元同步的影响.
- 实施和验证同步控制策略.
主要方法:
- 用于数值模拟的阿多米亚分解法.
- 分析分数顺序和外部电流作为分叉参数.
- 对于同步控制的利亚普诺夫控制方法.
- 使用数字信号处理器进行实验验证.
主要成果:
- 神经元动态类型不受分数顺序的影响,但随着分数顺序的下降,响应频率会增加.
- 合强度影响同步,随着分数顺序的下降,可能加速同步状态.
- 利亚普诺夫控制器确保了同步,无论合参数值如何.
结论:
- 分数顺序显著影响神经元响应频率和同步速度.
- 利亚普诺夫控制有效地在合的符合神经元模型中实现同步.
- 实验验证证证实了关于分数级神经元动态的理论发现.
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