Kramer Mark A, Edwards Erik, Soltani Maryam, Berger Mitchel S, Knight Robert T, Szeri Andrew J
Program in Applied Science and Technology, University of California, Berkeley, California 94720-1708, USA.
Phys Rev E Stat Nonlin Soft Matter Phys. 2004 Jul;70(1 Pt 1):011914. doi: 10.1103/PhysRevE.70.011914. Epub 2004 Jul 29.
Synchronization measures have become an important tool for exploring the relationships between time series. We review three recently proposed nonlinear synchronization measures and expand their definitions in a straightforward way to apply to an ensemble of measurements. We also develop a synchronization measure in which nearest neighbors are determined across the ensemble. We compare these four nonlinear synchronization measures and show that our measure succeeds in physically motivated examples where the other methods fail. We apply the synchronization measure to human electrocorticogram data collected during an auditory event-related potential experiment. The results suggest a crude model of cortical connectivity.
同步测量已成为探索时间序列之间关系的重要工具。我们回顾了最近提出的三种非线性同步测量方法，并以一种直接的方式扩展了它们的定义，以便应用于测量集合。我们还开发了一种同步测量方法，其中在整个集合中确定最近邻。我们比较了这四种非线性同步测量方法，并表明在其他方法失败的具有物理动机的示例中，我们的方法取得了成功。我们将同步测量方法应用于在听觉事件相关电位实验期间收集的人类脑电皮质图数据。结果提出了一种粗略的皮质连接模型。
