Does the 1/f frequency scaling of brain signals reflect self-organized critical states?
Does the 1/f frequency scaling of brain signals reflect self-organized critical states?
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DOI：
10.1103/physrevlett.97.118102
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发表时间：
2006-09-15
影响因子：
8.6
通讯作者：
Destexhe, A.
中科院分区：
文献类型：
--
作者：
Bedard, C.;Kroger, H.;Destexhe, A.
许多复杂系统表现出以功率谱的1/f频率尺度为特征的自组织临界态。全局变量，如脑电，尺度为1/f，这可能是神经元活动中自组织临界状态的标志。通过分析全球和神经元活动的同时记录，我们确认了选定频段的全局变量的1/f尺度，但表明神经元活动与临界状态不一致。我们提出了一个不依赖于临界态的1/f标度模型，该模型在实验上是可验证的。
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.