Granger causality for circular variables
Disordered Systems and Neural Networks
2015-05-13 v1 Adaptation and Self-Organizing Systems
Data Analysis, Statistics and Probability
Neurons and Cognition
Abstract
In this letter we discuss use of Granger causality to the analyze systems of coupled circular variables, by modifying a recently proposed method for multivariate analysis of causality. We show the application of the proposed approach on several Kuramoto systems, in particular one living on networks built by preferential attachment and a model for the transition from deeply to lightly anaesthetized states. Granger causalities describe the flow of information among variables.
Keywords
Cite
@article{arxiv.0902.2341,
title = {Granger causality for circular variables},
author = {Leonardo Angelini and Mario Pellicoro and Sebastiano Stramaglia},
journal= {arXiv preprint arXiv:0902.2341},
year = {2015}
}
Comments
4 pages, 5 figures