Robustness and information propagation in attractors of Random Boolean Networks.

Attractors represent the long-term behaviors of Random Boolean Networks. We study how the amount of information propagated between the nodes when on an attractor, as quantified by the average pairwise mutual information (I(A)), relates to the robustness of the attractor to perturbations (R(A)). We f...

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Autores principales: Jason Lloyd-Price, Abhishekh Gupta, Andre S Ribeiro
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Publicado: Public Library of Science (PLoS) 2012
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Acceso en línea:https://doaj.org/article/953a7075165c4dd0a7285be49c307768
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spelling oai:doaj.org-article:953a7075165c4dd0a7285be49c3077682021-11-18T07:10:24ZRobustness and information propagation in attractors of Random Boolean Networks.1932-620310.1371/journal.pone.0042018https://doaj.org/article/953a7075165c4dd0a7285be49c3077682012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22860048/?tool=EBIhttps://doaj.org/toc/1932-6203Attractors represent the long-term behaviors of Random Boolean Networks. We study how the amount of information propagated between the nodes when on an attractor, as quantified by the average pairwise mutual information (I(A)), relates to the robustness of the attractor to perturbations (R(A)). We find that the dynamical regime of the network affects the relationship between I(A) and R(A). In the ordered and chaotic regimes, I(A) is anti-correlated with R(A), implying that attractors that are highly robust to perturbations have necessarily limited information propagation. Between order and chaos (for so-called "critical" networks) these quantities are uncorrelated. Finite size effects cause this behavior to be visible for a range of networks, from having a sensitivity of 1 to the point where I(A) is maximized. In this region, the two quantities are weakly correlated and attractors can be almost arbitrarily robust to perturbations without restricting the propagation of information in the network.Jason Lloyd-PriceAbhishekh GuptaAndre S RibeiroPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 7, p e42018 (2012)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Jason Lloyd-Price
Abhishekh Gupta
Andre S Ribeiro
Robustness and information propagation in attractors of Random Boolean Networks.
description Attractors represent the long-term behaviors of Random Boolean Networks. We study how the amount of information propagated between the nodes when on an attractor, as quantified by the average pairwise mutual information (I(A)), relates to the robustness of the attractor to perturbations (R(A)). We find that the dynamical regime of the network affects the relationship between I(A) and R(A). In the ordered and chaotic regimes, I(A) is anti-correlated with R(A), implying that attractors that are highly robust to perturbations have necessarily limited information propagation. Between order and chaos (for so-called "critical" networks) these quantities are uncorrelated. Finite size effects cause this behavior to be visible for a range of networks, from having a sensitivity of 1 to the point where I(A) is maximized. In this region, the two quantities are weakly correlated and attractors can be almost arbitrarily robust to perturbations without restricting the propagation of information in the network.
format article
author Jason Lloyd-Price
Abhishekh Gupta
Andre S Ribeiro
author_facet Jason Lloyd-Price
Abhishekh Gupta
Andre S Ribeiro
author_sort Jason Lloyd-Price
title Robustness and information propagation in attractors of Random Boolean Networks.
title_short Robustness and information propagation in attractors of Random Boolean Networks.
title_full Robustness and information propagation in attractors of Random Boolean Networks.
title_fullStr Robustness and information propagation in attractors of Random Boolean Networks.
title_full_unstemmed Robustness and information propagation in attractors of Random Boolean Networks.
title_sort robustness and information propagation in attractors of random boolean networks.
publisher Public Library of Science (PLoS)
publishDate 2012
url https://doaj.org/article/953a7075165c4dd0a7285be49c307768
work_keys_str_mv AT jasonlloydprice robustnessandinformationpropagationinattractorsofrandombooleannetworks
AT abhishekhgupta robustnessandinformationpropagationinattractorsofrandombooleannetworks
AT andresribeiro robustnessandinformationpropagationinattractorsofrandombooleannetworks
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