在新皮层的大型模型中,通过通信子空间进行认知网络交互
Ulises Pereira-Obilinovic1,2, Sean Froudist-Walsh3, Xiao-Jing Wang1
1Center for Neural Science, New York University, New York, NY, USA.
bioRxiv : the preprint server for biology
|November 18, 2024
概括
研究人员模拟了整个大脑的神经网络,以了解大脑活动如何灵活地重新配置. 该模型解释了不同的认知网络如何相互作用和沟通,揭示了皮质中动态路由的机制.
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:
- 全新皮质的神经活动组织成不同的网络用于认知过程.
- 这些网络的灵活重新配置对于认知至关重要,但人们对此了解甚少.
研究的目的:
- 阐明新皮层灵活网络重新配置的机制.
- 开发一个由解剖连接和认知网络激活所限制的全皮质动态的计算模型.
主要方法:
- 开发了连接受限制的和人类全皮质模型.
- 纳入区域内连接模式 (对称,不对称,随机) 和稀疏,低级加随机的区域间连接.
- 通过实验观察到的认知网络激活地图来限制模型连接.
主要成果:
- 该模型成功地捕获了认知网络动态和相互作用的关键方面,包括默认模式网络和背部注意网络之间的反相关性.
- 证明了网络之间的通信是由远程通信子空间与本地连接模式的对齐所塑造的.
- 表明网络通信可以通过自下而上的,依赖突出位置的路由机制进行切换.
- 面对面的多重需求网络表现出稳定和动态编码的共存,支持自上而下的认知控制.
结论:
- 开发的模型为理解认知过程中皮质网络中的动态路由提供了一个理论框架.
- 强调地方连接模式和区域间连接结构在塑造网络动态和通信中的作用.
- 解释了自下而上的突出信号如何调节网络交互以实现灵活的认知控制.
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