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大脑信号的1/f频率标度是否反映了自组织临界状态?

Does the 1/f frequency scaling of brain signals reflect self-organized critical states?

作者信息

Bédard C, Kröger H, Destexhe A

机构信息

Integrative and Computational Neuroscience Unit (UNIC), CNRS, Gif-sur-Yvette, France.

出版信息

Phys Rev Lett. 2006 Sep 15;97(11):118102. doi: 10.1103/PhysRevLett.97.118102. Epub 2006 Sep 13.

Abstract

Many complex systems display self-organized critical states characterized by 1/f frequency scaling of power spectra. Global variables such as the electroencephalogram, scale as 1/f, which could be the sign of self-organized critical states in neuronal activity. By analyzing simultaneous recordings of global and neuronal activities, we confirm the 1/f scaling of global variables for selected frequency bands, but show that neuronal activity is not consistent with critical states. We propose a model of 1/f scaling which does not rely on critical states, and which is testable experimentally.

摘要

许多复杂系统呈现出自组织临界状态,其特征为功率谱的1/f频率标度。诸如脑电图等全局变量按1/f标度,这可能是神经元活动中自组织临界状态的标志。通过分析全局活动和神经元活动的同步记录,我们确认了选定频段全局变量的1/f标度,但表明神经元活动与临界状态不一致。我们提出了一种不依赖临界状态且可通过实验验证的1/f标度模型。

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