Dickten Henning, Lehnertz Klaus
Department of Epileptology, University of Bonn, Sigmund-Freud-Straße 25, 53105 Bonn, Germany and Helmholtz Institute for Radiation and Nuclear Physics, University of Bonn, Nussallee 14-16, 53115 Bonn, Germany and Interdisciplinary Center for Complex Systems, University of Bonn, Brühler Straße 7, 53175 Bonn, Germany.
Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Dec;90(6):062706. doi: 10.1103/PhysRevE.90.062706. Epub 2014 Dec 8.
We propose a straightforward extension of symbolic transfer entropy to enable the investigation of delayed directional relationships between coupled dynamical systems from time series. Analyzing time series from chaotic model systems, we demonstrate the applicability and limitations of our approach. Our findings obtained from applying our method to infer delayed directed interactions in the human epileptic brain underline the importance of our approach for improving the construction of functional network structures from data.
我们提出了一种对符号转移熵的直接扩展，以能够从时间序列研究耦合动力系统之间的延迟方向关系。通过分析混沌模型系统的时间序列，我们证明了我们方法的适用性和局限性。我们将该方法应用于推断人类癫痫大脑中延迟的定向相互作用所获得的结果，强调了我们的方法对于从数据改进功能网络结构构建的重要性。
