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时间尺度层次与大脑。

A hierarchy of time-scales and the brain.

作者信息

Kiebel Stefan J, Daunizeau Jean, Friston Karl J

机构信息

Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom.

出版信息

PLoS Comput Biol. 2008 Nov;4(11):e1000209. doi: 10.1371/journal.pcbi.1000209. Epub 2008 Nov 14.

DOI:10.1371/journal.pcbi.1000209
PMID:19008936
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2568860/
Abstract

In this paper, we suggest that cortical anatomy recapitulates the temporal hierarchy that is inherent in the dynamics of environmental states. Many aspects of brain function can be understood in terms of a hierarchy of temporal scales at which representations of the environment evolve. The lowest level of this hierarchy corresponds to fast fluctuations associated with sensory processing, whereas the highest levels encode slow contextual changes in the environment, under which faster representations unfold. First, we describe a mathematical model that exploits the temporal structure of fast sensory input to track the slower trajectories of their underlying causes. This model of sensory encoding or perceptual inference establishes a proof of concept that slowly changing neuronal states can encode the paths or trajectories of faster sensory states. We then review empirical evidence that suggests that a temporal hierarchy is recapitulated in the macroscopic organization of the cortex. This anatomic-temporal hierarchy provides a comprehensive framework for understanding cortical function: the specific time-scale that engages a cortical area can be inferred by its location along a rostro-caudal gradient, which reflects the anatomical distance from primary sensory areas. This is most evident in the prefrontal cortex, where complex functions can be explained as operations on representations of the environment that change slowly. The framework provides predictions about, and principled constraints on, cortical structure-function relationships, which can be tested by manipulating the time-scales of sensory input.

摘要

在本文中,我们认为皮层解剖结构概括了环境状态动态中固有的时间层次结构。脑功能的许多方面可以根据环境表征演变的时间尺度层次来理解。该层次结构的最低级别对应于与感觉处理相关的快速波动,而最高级别编码环境中的缓慢背景变化,在这种变化下更快的表征展开。首先,我们描述一个数学模型,该模型利用快速感觉输入的时间结构来追踪其潜在原因的较慢轨迹。这种感觉编码或知觉推理模型建立了一个概念证明,即缓慢变化的神经元状态可以编码更快感觉状态的路径或轨迹。然后,我们回顾了经验证据,这些证据表明在皮层的宏观组织中存在时间层次结构。这种解剖 - 时间层次结构为理解皮层功能提供了一个全面的框架:通过其沿前后梯度的位置可以推断出参与某个皮层区域的特定时间尺度,这反映了与初级感觉区域的解剖距离。这在前额叶皮层中最为明显,在那里复杂功能可以解释为对缓慢变化的环境表征的操作。该框架提供了关于皮层结构 - 功能关系的预测和原则性约束,这些可以通过操纵感觉输入的时间尺度来进行测试。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c97b/2568860/f833e2e29f5d/pcbi.1000209.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c97b/2568860/2dc5c38b4920/pcbi.1000209.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c97b/2568860/dda37c1d6827/pcbi.1000209.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c97b/2568860/07de3b30d40e/pcbi.1000209.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c97b/2568860/35afce64e530/pcbi.1000209.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c97b/2568860/f833e2e29f5d/pcbi.1000209.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c97b/2568860/2dc5c38b4920/pcbi.1000209.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c97b/2568860/dda37c1d6827/pcbi.1000209.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c97b/2568860/07de3b30d40e/pcbi.1000209.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c97b/2568860/35afce64e530/pcbi.1000209.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c97b/2568860/f833e2e29f5d/pcbi.1000209.g005.jpg

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