Directionality indices: Testing information transfer with surrogate correction

Beth Jelfs and Rosa H. M. Chan
Phys. Rev. E 96, 052220 – Published 27 November 2017

Abstract

Directionality indices can be used as an indicator of the asymmetry in coupling between systems and have found particular application in relation to neurological systems. The directionality index between two systems is a function of measures of information transfer in both directions. Here we illustrate that before inferring the directionality of coupling it is first necessary to consider the use of appropriate tests of significance. We propose a surrogate corrected directionality index which incorporates such testing. We also highlight the differences between testing the significance of the directionality index itself versus testing the individual measures of information transfer in each direction. To validate the approach we compared two different methods of estimating coupling, both of which have previously been used to estimate directionality indices. These were the modeling-based evolution map approach and a conditional mutual information (CMI) method for calculating dynamic information rates. For the CMI-based approach we also compared two different methods for estimating the CMI, an equiquantization-based estimator and a k-nearest neighbors estimator.

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  • Received 4 July 2017
  • Revised 24 September 2017

DOI:https://doi.org/10.1103/PhysRevE.96.052220

©2017 American Physical Society

Physics Subject Headings (PhySH)

Nonlinear DynamicsStatistical Physics & ThermodynamicsPhysics of Living SystemsNetworks

Authors & Affiliations

Beth Jelfs* and Rosa H. M. Chan

  • Department of Electronic Engineering and Centre for Biosystems, Neuroscience, & Nanotechnology, City University of Hong Kong, Hong Kong

  • *Present address: School of Engineering, RMIT University, Melbourne, Australia; beth.jelfs@rmit.edu.au

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Issue

Vol. 96, Iss. 5 — November 2017

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