Literature DB >> 18352110

Inferring the directionality of coupling with conditional mutual information.

Martin Vejmelka1, Milan Palus.   

Abstract

Uncovering the directionality of coupling is a significant step in understanding drive-response relationships in complex systems. In this paper, we discuss a nonparametric method for detecting the directionality of coupling based on the estimation of information theoretic functionals. We consider several different methods for estimating conditional mutual information. The behavior of each estimator with respect to its free parameter is shown using a linear model where an analytical estimate of conditional mutual information is available. Numerical experiments in detecting coupling directionality are performed using chaotic oscillators, where the influence of the phase extraction method and relative frequency ratio is investigated.

Year:  2008        PMID: 18352110     DOI: 10.1103/PhysRevE.77.026214

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  27 in total

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5.  Detecting couplings between interacting oscillators with time-varying basic frequencies: instantaneous wavelet bispectrum and information theoretic approach.

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Authors:  Xiaogeng Wan; Lanxi Xu
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8.  High-frequency neuronal network modulations encoded in scalp EEG precede the onset of focal seizures.

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9.  Multiscale information for network characterization in epilepsy.

Authors:  Catherine Stamoulis; Bernard S Chang
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

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Authors:  Catherine Stamoulis; Donald L Schomer; Bernard S Chang
Journal:  Epilepsy Res       Date:  2013-04-19       Impact factor: 3.045

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