同步神经网络的突触重组具有突触重量和结构可塑性
Kanishk Chauhan1,2, Alexander B Neiman1,2, Peter A Tass3
1Department of Physics and Astronomy, Ohio University, Athens, Ohio, United States of America.
PLoS computational biology
|July 9, 2024
概括
神经网络结构和突触可塑性共同出现,影响大脑同步. 结构重组可以增强同步性,潜在地为帕金森病等脑部疾病的治疗提供信息.
科学领域:
- 计算神经科学是一种计算神经科学.
- 网络神经科学 网络神经科学
- 系统神经科学 系统神经科学
背景情况:
- 异常强烈的神经同步与各种疾病中的大脑功能受损有关.
- 了解神经元动态,突触重量和网络结构之间的相互作用对于破译大脑功能和功能障碍至关重要.
研究的目的:
- 通过计算来研究神经元动态,突触重量和网络结构在同步和脱同步过程中如何共同出现.
- 分析不同可塑性机制 (峰值时间依赖的可塑性和结构性可塑性) 对神经网络同步及其对外部干扰的反应的影响.
主要方法:
- 模拟了一个具有各种可塑性规则的激发性整合和发火神经元网络:STDP,恒温结构可塑性 (hSP) 和与结构可塑性 (SP) 结合的STDP,包括依赖体重的修剪.
- 引入了一个随机SP模型来处理不同的时间尺度.
- 利用网络理论工具来分析网络结构和同步水平.
主要成果:
- 结构重组显著增强神经同步.
- 通过消除较弱的接触,重量依赖的修剪会导致较稀疏的网络,与仅STDP模型相比,实现高同步性.
- 活动主导的重组导致特定的网络结构 (度频率,度度相关性,混合度分类性).
- 与仅使用STDP的模型相比,具有联合可塑性 (STDP+hSP,STDP+SP) 的模型需要更高的刺激强度来实现脱同步.
结论:
- 突触和结构性可塑性机制相互作用,塑造神经网络动态和同步.
- 取决于活动的结构重组可以优化网络的同步与减少连接.
- 这些发现为开发针对神经同步的治疗策略提供了洞察力,用于大脑疾病中的神经同步.
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