从同时的群体记录推断多区域相互作用的方法：从同时的群体记录推断多区域相互作用。
Approaches to inferring multi-regional interactions from simultaneous population recordings: Inferring multi-regional interactions from simultaneous population recordings.
机构信息
Dept. of Neurobiology, Stanford University, Stanford, CA, United States; Physics Department, Stanford University, Stanford, CA, United States.
Dept. of Neurobiology, Stanford University, Stanford, CA, United States.
出版信息
Curr Opin Neurobiol. 2020 Dec;65:108-119. doi: 10.1016/j.conb.2020.10.004. Epub 2020 Nov 20.
Most past studies of neural representations and dynamics have focused on recordings from single brain areas. However, growing evidence of brain-wide, parallel representations of cognitive variables suggests that analyzing neural representations and dynamics in individual brain areas can benefit from understanding the context of multi-regional interactions that support them. Moreover, perturbation experiments revealed that the manner in which these parallel representations interact with each other can differ dramatically across different pairs of brain areas. Recent advances in recording technology offer a potentially powerful substrate to study how multi-regional interactions coordinate neural representations in individual brain areas and dictate behavior on a single-trial basis through simultaneous recordings of multiple brain areas. We review pragmatic approaches to studying multi-regional interactions and illustrate them in the concrete context of a rodent delayed response task paradigm.
大多数过去有关神经表现和动态的研究都集中在单个脑区的记录上。然而，越来越多的证据表明认知变量在大脑中广泛存在并行的表现，这表明分析单个脑区的神经表现和动态可以受益于理解支持它们的多区域相互作用的背景。此外，扰动实验表明，这些并行表现相互作用的方式在不同的脑区对之间可能有很大的差异。记录技术的最新进展为研究多区域相互作用如何在单个脑区协调神经表现以及通过多个脑区的同时记录在单个试验基础上决定行为提供了一个潜在的强大基质。我们回顾了研究多区域相互作用的实用方法，并在啮齿动物延迟反应任务范式的具体背景下对其进行了说明。
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