在多个内部神经元类的皮质电路中解稳定性和增益调制
Hannah Bos1, Christoph Miehl2,3, Anne-Marie Michelle Oswald2,3
1Department of Mathematics, University of Pittsburgh, Pittsburgh, United States.
eLife
|April 30, 2025
概括
皮层电路使用突触抑制来实现稳定性和神经元增益. 多种内部神经元,如体静止素 (SOM) 细胞,可以同时增加增益和稳定性,这取决于网络连接.
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:
- 突触抑制对于皮质功能,如网络稳定性和神经元增益至关重要.
- 在简化模型中,稳定性和增益往往是反向相关的.
- 皮层抑制是多样化的,涉及不同的内部神经元类别,具有特定的电路角色.
研究的目的:
- 调查不同类型的内部神经元,特别是表达内部神经元的蛋白 (PV) 和体静止素 (SOM),如何影响皮层网络动态.
- 分析结合金字塔神经元 (E),PV内部神经元和SOM内部神经元的电路模型.
- 确定特定的内部神经元介导调制是否可以同时增强网络稳定性和神经元增益.
主要方法:
- 对循环连接网络模型的分析.
- 包括金字塔神经元 (E) 和两个不同的内部神经元群体:双蛋白 (PV) 和体静止素 (SOM).
- 在E-PV-SOM网络中建模突触相互作用和神经元动态.
主要成果:
- 证明体静止素 (SOM) 介导的调制可以导致在E-PV-SOM网络内同时增加神经元增益和网络稳定性.
- 展示了SOM神经元调制的影响如何取决于特定的电路连接模式.
- 突出了网络状态在确定SOM神经元活动影响中的关键作用.
结论:
- 不同类型的内部神经元,特别是SOM神经元之间的相互作用提供了一种机制,可以克服在更简单的模型中看到的稳定性-增益权衡.
- 电路连接和网络状态是SOM介导的神经调节如何影响皮质功能的关键决定因素.
- 这项研究提供了对由皮层抑制电路多样性产生的复杂计算能力的见解.
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