Department of Epileptology, University of Bonn, Sigmund-Freud-Strasse 25, Bonn, Germany.
Physiol Meas. 2011 Nov;32(11):1715-24. doi: 10.1088/0967-3334/32/11/R01. Epub 2011 Oct 25.
The study of synchronization phenomena in coupled dynamical systems is an active field of research in many scientific disciplines including the neurosciences. Over the last decades, a number of time series analysis techniques have been proposed to capture both linear and nonlinear aspects of interactions. While most of these techniques allow one to quantify the strength of interactions, developments that resulted from advances in nonlinear dynamics and in information and synchronization theory aim at assessing directed interactions. Most of these techniques, however, assume the underlying systems to be at least approximately stationary and require a large number of data points to robustly assess directed interactions. Recent extensions allow assessing directed interactions from short and transient signals and are particularly suited for the analysis of evoked and event-related activity.
在包括神经科学在内的许多科学学科中，对耦合动力系统中的同步现象的研究是一个活跃的研究领域。在过去的几十年中，已经提出了许多时间序列分析技术来捕捉相互作用的线性和非线性方面。虽然这些技术中的大多数都可以量化相互作用的强度，但是非线性动力学和信息与同步理论的发展导致了旨在评估有向相互作用的技术。然而，这些技术中的大多数都假设基础系统至少是近似稳定的，并且需要大量数据点才能稳健地评估有向相互作用。最近的扩展允许从短的瞬态信号评估有向相互作用，并且特别适合于诱发和事件相关活动的分析。
