Identifying delayed directional couplings with symbolic transfer entropy
Neurons and Cognition
2016-10-10 v1 Chaotic Dynamics
Computational Physics
Data Analysis, Statistics and Probability
Medical Physics
Abstract
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.
Cite
@article{arxiv.1610.02308,
title = {Identifying delayed directional couplings with symbolic transfer entropy},
author = {Henning Dickten and Klaus Lehnertz},
journal= {arXiv preprint arXiv:1610.02308},
year = {2016}
}