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Mutual Information Rate and Bounds for It

The amount of information exchanged per unit of time between two nodes in a dynamical network or between two data sets is a powerful concept for analysing complex systems. This quantity, known as the mutual information rate (MIR), is calculated from the mutual information, which is rigorously define...

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Autores principales: Baptista, Murilo S., Rubinger, Rero M., Viana, Emilson R., Sartorelli, José C., Parlitz, Ulrich, Grebogi, Celso
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3480398/
https://www.ncbi.nlm.nih.gov/pubmed/23112809
http://dx.doi.org/10.1371/journal.pone.0046745
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author Baptista, Murilo S.
Rubinger, Rero M.
Viana, Emilson R.
Sartorelli, José C.
Parlitz, Ulrich
Grebogi, Celso
author_facet Baptista, Murilo S.
Rubinger, Rero M.
Viana, Emilson R.
Sartorelli, José C.
Parlitz, Ulrich
Grebogi, Celso
author_sort Baptista, Murilo S.
collection PubMed
description The amount of information exchanged per unit of time between two nodes in a dynamical network or between two data sets is a powerful concept for analysing complex systems. This quantity, known as the mutual information rate (MIR), is calculated from the mutual information, which is rigorously defined only for random systems. Moreover, the definition of mutual information is based on probabilities of significant events. This work offers a simple alternative way to calculate the MIR in dynamical (deterministic) networks or between two time series (not fully deterministic), and to calculate its upper and lower bounds without having to calculate probabilities, but rather in terms of well known and well defined quantities in dynamical systems. As possible applications of our bounds, we study the relationship between synchronisation and the exchange of information in a system of two coupled maps and in experimental networks of coupled oscillators.
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spelling pubmed-34803982012-10-30 Mutual Information Rate and Bounds for It Baptista, Murilo S. Rubinger, Rero M. Viana, Emilson R. Sartorelli, José C. Parlitz, Ulrich Grebogi, Celso PLoS One Research Article The amount of information exchanged per unit of time between two nodes in a dynamical network or between two data sets is a powerful concept for analysing complex systems. This quantity, known as the mutual information rate (MIR), is calculated from the mutual information, which is rigorously defined only for random systems. Moreover, the definition of mutual information is based on probabilities of significant events. This work offers a simple alternative way to calculate the MIR in dynamical (deterministic) networks or between two time series (not fully deterministic), and to calculate its upper and lower bounds without having to calculate probabilities, but rather in terms of well known and well defined quantities in dynamical systems. As possible applications of our bounds, we study the relationship between synchronisation and the exchange of information in a system of two coupled maps and in experimental networks of coupled oscillators. Public Library of Science 2012-10-24 /pmc/articles/PMC3480398/ /pubmed/23112809 http://dx.doi.org/10.1371/journal.pone.0046745 Text en © 2012 Baptista et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Baptista, Murilo S.
Rubinger, Rero M.
Viana, Emilson R.
Sartorelli, José C.
Parlitz, Ulrich
Grebogi, Celso
Mutual Information Rate and Bounds for It
title Mutual Information Rate and Bounds for It
title_full Mutual Information Rate and Bounds for It
title_fullStr Mutual Information Rate and Bounds for It
title_full_unstemmed Mutual Information Rate and Bounds for It
title_short Mutual Information Rate and Bounds for It
title_sort mutual information rate and bounds for it
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3480398/
https://www.ncbi.nlm.nih.gov/pubmed/23112809
http://dx.doi.org/10.1371/journal.pone.0046745
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