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从大规模皮质动力学看维度和可变性的新视角。

New perspectives on dimensionality and variability from large-scale cortical dynamics.

机构信息

Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, United States.

Department of Biological Structure, University of Washington, Seattle, WA 98195, United States.

出版信息

Curr Opin Neurobiol. 2019 Oct;58:181-190. doi: 10.1016/j.conb.2019.09.003. Epub 2019 Oct 1.

Abstract

The neocortex is a multi-scale network, with intricate local circuitry interwoven into a global mesh of long-range connections. Neural activity propagates within this network on a wide range of temporal and spatial scales. At the micro scale, neurophysiological recordings reveal coordinated dynamics in local neural populations, which support behaviorally relevant computations. At the macro scale, neuroimaging modalities measure global activity fluctuations organized into spatiotemporal patterns across the entire brain. Here we review recent advances linking the local and global scales of cortical dynamics and their relationship to behavior. We argue that diverse experimental observations on the dimensionality and variability of neural activity can be reconciled by considering how activity propagates in space and time on multiple spatial scales.

摘要

大脑皮层是一个多尺度的网络,其局部回路错综复杂,交织成一个长程连接的全局网格。神经活动在这个网络中以广泛的时间和空间尺度传播。在微观尺度上,神经生理学记录揭示了局部神经群体的协调动力学,这些动力学支持与行为相关的计算。在宏观尺度上,神经影像学模式测量了全球活动波动,这些波动组织成整个大脑的时空模式。在这里,我们回顾了最近将皮层动力学的局部和全局尺度联系起来及其与行为关系的进展。我们认为,通过考虑活动在多个空间尺度上如何在空间和时间上传播,可以协调对神经活动的维度和可变性的各种实验观察。

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Single-trial neural dynamics are dominated by richly varied movements.单试次神经动力学由丰富多样的运动所主导。
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Spontaneous behaviors drive multidimensional, brainwide activity.自发性行为驱动多维全脑活动。
Science. 2019 Apr 19;364(6437):255. doi: 10.1126/science.aav7893. Epub 2019 Apr 18.
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Locomotion-dependent remapping of distributed cortical networks.运动依赖性皮质网络分布式重映射。
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