Power-law distribution of phase-locking intervals does not imply critical interaction
Power-law distribution of phase-locking intervals does not imply critical interaction
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DOI：
10.1103/physreve.86.051920
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发表时间：
2012-11-30
影响因子：
2.4
通讯作者：
Berthouze, L.
中科院分区：
文献类型：
--
作者：
Botcharova, M.;Farmer, S. F.;Berthouze, L.
神经同步在信息的处理、存储和传输中起着至关重要的作用。因此，表征同步模式是非常感兴趣的。最近有人建议，大脑显示宽带关键性的基础上的两个措施的同步，锁相间隔和全球不稳定性的同步，显示幂律统计在临界阈值的经典模型的同步。在本文中，我们提供的证据表明，在用于确定幂律统计的存在的模型选择方法的限制内，来自非临界相互作用系统的成对锁相间隔的汇集可以产生类似地被评估为幂律的分布。与此相反，全球不稳定性的同步措施，以更好地区分关键的非关键的相互作用。
Neural synchronization plays a critical role in information processing, storage, and transmission. Characterizing the pattern of synchronization is therefore of great interest. It has recently been suggested that the brain displays broadband criticality based on two measures of synchronization, phase-locking intervals and global lability of synchronization, showing power-law statistics at the critical threshold in a classical model of synchronization. In this paper, we provide evidence that, within the limits of the model selection approach used to ascertain the presence of power-law statistics, the pooling of pairwise phase-locking intervals from a noncritically interacting system can produce a distribution that is similarly assessed as being power law. In contrast, the global lability of synchronization measure is shown to better discriminate critical from noncritical interaction.