大规模临界脑动力学

D. Chialvo
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引用次数: 17

摘要

高度相关的大脑动态产生同步状态,没有行为价值,而弱相关的动态阻止信息流。在这些状态之间,临界状态的独特动态特征赋予了大脑适应行为的基本属性。我们讨论20年前Per Bak提出的思想,即工作的大脑停留在一个以幂律相关为特征的中间(临界)状态。这一建议现在得到了大量不同尺度的经验证据的支持,这些证据表明,时空大脑动力学表现出临界动力学的关键特征,这些特征以前在其他复杂系统中得到了认可。在这些注释中讨论了这个程序背后的基本原理,然后对最近的结果进行了说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Critical Brain Dynamics at Large Scale
Highly correlated brain dynamics produces synchronized states with no behavioral value, while weakly correlated dynamics prevent information flow. In between these states, the unique dynamical features of the critical state endow the brain with properties which are fundamental for adaptive behavior. We discuss the idea put forward two decades ago by Per Bak that the working brain stays at an intermediate (critical) regime characterized by power-law correlations. This proposal is now supported by a wide body of empirical evidence at different scales demonstrating that the spatiotemporal brain dynamics exhibit key signatures of critical dynamics, previously recognized in other complex systems. The rationale behind this program is discussed in these notes, followed by an account of the most recent results.
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