差距连接和集群连接在抑制性神经网络新兴同步模式中的作用
Hélène Todd1, Mathieu Desroches2,3, Alex Cayco-Gajic1
1Ecole Normale Supérieure PSL University, Group for Neural Theory, Laboratoire des Neurosciences Cognitives et Computationnelles, Paris, France.
Physical review. E
|August 19, 2025
概括
抑制性内部神经元网络中的同步来自电气和化学合的结合. 不同的合强度和输入可以在同步和异步状态之间切换网络,揭示复杂的动态控制机制.
科学领域:
- 神经科学是一个神经科学.
- 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
背景情况:
- 抑制性内部神经元对于调节中枢神经系统中神经活动至关重要.
- 这些神经元利用化学突触和间隙连接来进行网络通信.
- 了解这些双重合如何影响网络动态对于解释大脑功能至关重要.
研究的目的:
- 研究内部神经元网络中与电气和化学合的同步背后的动态机制.
- 开发和分析同质和集群内部神经元网络的神经质量模型.
- 探索不同合强度和网络结构如何影响网络同步.
主要方法:
- 利用精确的平均场减值推导出神经质量模型.
- 分析单个群体,以了解电气和化学合之间的相互作用.
- 模拟的集群网络,在细胞类型之间具有不同的合强度.
主要成果:
- 网络同步通过增加间隙结连接或背景输入来促进.
- 抑制性突触强度调节了群体的发射速度,补充了电气合在同步中的作用.
- 集群之间的不对称合可以诱导双稳定性,允许外部输入切换网络状态.
结论:
- 电气和化学合强度是调整网络同步的互补机制.
- 网络同步受细胞内在特性和网络架构的影响.
- 该研究提供了对控制内部神经元网络动态和同步的多种机制的见解.
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