突触可塑性促进了V1皮层柱模型中的振荡,该模型具有多个内部神经元类型.
Giulia Moreni1, Licheng Zou1, Cyriel M A Pennartz1,2
1Cognitive and Systems Neuroscience Group, Faculty of Science, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands.
Frontiers in computational neuroscience
|May 15, 2025
概括
大脑中的神经节奏可能不是固有的,而是从学习中产生的. 将突触可塑性引入皮质模型诱导了振荡,这表明经验和大脑节奏之间存在联系.
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:
- 神经节奏在大脑记录中很常见,但它们的起源 (电路结构与功能) 仍然存在争议.
- 了解神经振荡的出现对于破译大脑功能至关重要.
研究的目的:
- 为了调查神经节奏是否是皮质微电路的内在因素,还是源于功能过程.
- 探索突触可塑性在计算模型中产生神经振荡中的作用.
主要方法:
- 开发了一种小鼠V1皮层柱的尖端网络模型,详细介绍了细胞类型 (金字塔,PV,SST,VIP内部神经元) 和受体动态.
- 将长期的突触可塑性通过依赖尖峰时间的可塑性 (STDP) 规则纳入模型.
- 分析了节奏活动的出现及其对细胞类型和连接模式的依赖.
主要成果:
- 该模型在体内精确地复制了特定于细胞类型的火速,但最初缺乏节律活动.
- 引入基于STDP的突触可塑性诱导的宽带 (15-60 Hz) 振荡.
- 振荡取决于所有建模的内部神经元类型和特定的经验依赖连接.
结论:
- 神经节奏可能不是皮质电路的基本特性,但可以通过学习诱导的结构变化出现.
- 突触可塑性在产生神经振荡中起着至关重要的作用.
- 神经回路的经验依赖性修改对于产生功能节律活动至关重要.
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