合延迟在可刺激神经元与消散自主网络中的振荡活动中的作用
A V Bukh1, I A Shepelev1,2, E M Elizarov1
1Institute of Physics, Saratov State University, 83 Astrakhanskaya Street, Saratov 410012, Russia.
Chaos (Woodbury, N.Y.)
|July 6, 2023
概括
我们以数值方式研究了菲茨休-纳古莫神经网络中的时间延迟效应. 减少散射增强振荡活动和同步性,提供对网络行为的控制.
科学领域:
- 计算神经科学是一种计算神经科学.
- 复杂系统的动态 复杂系统的动态
背景情况:
- 菲茨休-纳古莫模型对于研究神经元刺激性至关重要.
- 时间延迟对于理解结合的神经网络的动态至关重要.
- 消散在可兴奋系统的行为中起着重要作用.
研究的目的:
- 在延迟合可激发的FitzHugh-Nagumo系统与消散的网络中数量研究时间延迟的影响.
- 分析周期性自持振荡的产生和值.
- 探索消散,延迟时间和初始条件对神经网络动态的影响.
主要方法:
- 菲茨休-纳古莫神经网络的数值模拟.
- 用本地和非本地合拓分析时空动态.
- 使用最大莱普诺夫指数和全球秩序参数分布进行量化.
主要成果:
- 在双向环结构网络中,建立了第一阶段非平衡阶段过渡到同步.
- 延迟合神经元中的振荡活动出现了较小的合强度,随着消散的减少.
- 消散,延迟和合强度之间的相互作用决定了网络行为.
结论:
- 分散水平是控制费茨休-纳古莫神经网络振荡活动和同步的一个关键参数.
- 时间延迟合显著影响同步振荡的出现和特征.
- 这些发现为控制神经网络的时空动态提供了洞察力.
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