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Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function

机译:束缚在空腔中的神经元团提供了结构与功能之间的缺失环节

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摘要

The lack of a formal link between neural network structure and its emergent function has hampered our understanding of how the brain processes information. We have now come closer to describing such a link by taking the direction of synaptic transmission into account, constructing graphs of a network that reflect the direction of information flow, and analyzing these directed graphs using algebraic topology. Applying this approach to a local network of neurons in the neocortex revealed a remarkably intricate and previously unseen topology of synaptic connectivity. The synaptic network contains an abundance of cliques of neurons bound into cavities that guide the emergence of correlated activity. In response to stimuli, correlated activity binds synaptically connected neurons into functional cliques and cavities that evolve in a stereotypical sequence toward peak complexity. We propose that the brain processes stimuli by forming increasingly complex functional cliques and cavities.
机译:神经网络结构与其新兴功能之间缺乏形式上的联系,这妨碍了我们对大脑如何处理信息的理解。现在,我们通过考虑突触传递的方向,构建反映信息流方向的网络图以及使用代数拓扑分析这些有向图来更加接近地描述这种链接。将这种方法应用于新皮层中的神经元的本地网络揭示了突触连接的极其复杂的和以前看不见的拓扑。突触网络包含大量神经元团,这些神经元团被束缚在空腔中,以指导相关活动的出现。响应刺激,相关的活动将突触连接的神经元结合成功能性集团和空腔,这些集团和空腔以定型顺序向峰值复杂性发展。我们建议大脑通过形成越来越复杂的功能集团和空腔来处理刺激。

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