大脑的行为像(复杂)网络吗?I. 动态

IF 13.7 1区 生物学 Q1 BIOLOGY
D. Papo , J.M. Buldú
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引用次数: 0

摘要

图论现已成为系统级神经科学的标准工具。然而,赋予观察到的大脑解剖和动态以复杂的网络结构,并不意味着大脑实际上是作为一个网络在工作。询问大脑是否像网络一样运行,意味着询问网络属性是否重要。从神经生理学的角度来看,也可能从大脑物理学的角度来看,网络结构可能有助于解决的最实质性问题涉及网络特性对大脑动力学的影响,以及这些特性是否最终解释了大脑功能的某些方面。在此,我们将探讨复杂网络的动态影响,研究大脑活动的哪些方面和尺度可被理解为真正的网络行为。为此,我们首先定义了网络性的含义,并分析了它的一些含义。然后,我们研究了大脑解剖学和动力学赋予网络结构的方式,并讨论了网络结构代表大脑活动真正组织原则的可能方式,而不仅仅是对其解剖学和动力学的方便描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does the brain behave like a (complex) network? I. Dynamics

Graph theory is now becoming a standard tool in system-level neuroscience. However, endowing observed brain anatomy and dynamics with a complex network structure does not entail that the brain actually works as a network. Asking whether the brain behaves as a network means asking whether network properties count. From the viewpoint of neurophysiology and, possibly, of brain physics, the most substantial issues a network structure may be instrumental in addressing relate to the influence of network properties on brain dynamics and to whether these properties ultimately explain some aspects of brain function. Here, we address the dynamical implications of complex network, examining which aspects and scales of brain activity may be understood to genuinely behave as a network. To do so, we first define the meaning of networkness, and analyse some of its implications. We then examine ways in which brain anatomy and dynamics can be endowed with a network structure and discuss possible ways in which network structure may be shown to represent a genuine organisational principle of brain activity, rather than just a convenient description of its anatomy and dynamics.

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来源期刊
Physics of Life Reviews
Physics of Life Reviews 生物-生物物理
CiteScore
20.30
自引率
14.50%
发文量
52
审稿时长
8 days
期刊介绍: Physics of Life Reviews, published quarterly, is an international journal dedicated to review articles on the physics of living systems, complex phenomena in biological systems, and related fields including artificial life, robotics, mathematical bio-semiotics, and artificial intelligent systems. Serving as a unifying force across disciplines, the journal explores living systems comprehensively—from molecules to populations, genetics to mind, and artificial systems modeling these phenomena. Inviting reviews from actively engaged researchers, the journal seeks broad, critical, and accessible contributions that address recent progress and sometimes controversial accounts in the field.
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