在尖端神经网络中同步,具有短距离和长距离连接以及时间延迟
Lionel Kusch1, Martin Breyton1,2, Damien Depannemaecker1
1Institut de Neurosciences des Systèmes, Aix-Marseille University, INSERM, Marseille 13005, France.
Chaos (Woodbury, N.Y.)
|January 30, 2025
概括
大脑网络同步,对于信息处理至关重要,受到信号延迟的影响. 这项研究揭示了神经元特性和网络结构如何与延迟相互作用,以塑造像波一样的大脑活动模式.
科学领域:
- 计算神经科学是一种神经科学.
- 系统神经科学 系统神经科学
- 神经科学是一个神经科学.
背景情况:
- 在振荡网络中,同步对于大脑信息处理至关重要.
- 时间延迟显著影响神经系统中的同步.
- 由于尖端的神经网络 (SNN) 的延迟,由于尖端的离散性,人们对延迟的影响不太了解.
研究的目的:
- 为了研究神经元突起模型中的同步条件和动态.
- 阐明神经网络同步中的时间延迟的作用.
- 为了弥合振荡和尖端网络模型之间关于延迟效应的差距.
主要方法:
- 利用了自适应指数整合和发火神经元的二维网络模型.
- 执行了神经元和网络属性的参数探索.
- 将同步行为映射为远程连接和微观网络属性的函数.
主要成果:
- 确定了作为主要网络行为活动的静止和移动波.
- 证明网络行为取决于噪声强度,激发/抑制 (E/I) 平衡和电压适应.
- 显示,长距离连接的延迟调节了这些行为.
结论:
- 尖端神经网络中的同步是微观,中观和宏观参数的复杂相互作用.
- 时间延迟显著影响新出现的时空活动模式.
- 了解这些相互作用是理解大脑信息处理的关键.
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