Structural determinants of criticality in biological networks
Many adaptive evolutionary systems display spatial and temporal features, such as long-range correlations, typically associated with the critical point of a phase transition in statistical physics. Empirical and theoretical studies suggest that operating near criticality enhances the functionality of biological networks, such as brain and gene networks, in terms for instance of information processing, robustness, and evolvability. While previous studies have explained criticality with specific system features, we still lack a general theory of critical behavior in biological systems. Here we look at this problem from the complex systems perspective, since in principle all critical biological circuits have in common the fact that their internal organization can be described as a complex network. An important question is how self-similar structure influences self-similar dynamics. Modularity and heterogeneity, for instance, affect the location of critical points and can be used to tune the system toward criticality. We review and discuss recent studies on the criticality of neuronal and genetic networks, and discuss the implications of network theory when assessing the evolutionary features of criticality.
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Frontiers Media
2015-05-08
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Subjects: | Criticality, Powerlaws, Hierarchical modular networks, Neural networks, Generegulatory networks, Evolution, Robustness, |
Online Access: | http://hdl.handle.net/10261/152656 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100003741 http://dx.doi.org/10.13039/100006754 |
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dig-ibe-es-10261-1526562021-12-28T16:14:27Z Structural determinants of criticality in biological networks Valverde, Sergi Oshe, Sebastian Turalska, Malgorzata West, Bruce J. García-Ojalvo, Jordi Ministerio de Economía y Competitividad (España) European Commission Institución Catalana de Investigación y Estudios Avanzados US Army Research Laboratory Criticality Powerlaws Hierarchical modular networks Neural networks Generegulatory networks Evolution Robustness Many adaptive evolutionary systems display spatial and temporal features, such as long-range correlations, typically associated with the critical point of a phase transition in statistical physics. Empirical and theoretical studies suggest that operating near criticality enhances the functionality of biological networks, such as brain and gene networks, in terms for instance of information processing, robustness, and evolvability. While previous studies have explained criticality with specific system features, we still lack a general theory of critical behavior in biological systems. Here we look at this problem from the complex systems perspective, since in principle all critical biological circuits have in common the fact that their internal organization can be described as a complex network. An important question is how self-similar structure influences self-similar dynamics. Modularity and heterogeneity, for instance, affect the location of critical points and can be used to tune the system toward criticality. We review and discuss recent studies on the criticality of neuronal and genetic networks, and discuss the implications of network theory when assessing the evolutionary features of criticality. This paper was supported by the Spanish Ministry of Economy and Competitiveness (Grants FIS2013-44674-P and FIS2012-37655-C02-01) and FEDER and by the ICREA Academia programme (JGO). MT acknowledges support of the Army Research Office through grant W911NF-04-D-0001. Peer reviewed 2017-07-12T09:01:05Z 2017-07-12T09:01:05Z 2015-05-08 artículo http://purl.org/coar/resource_type/c_6501 Frontiers in Physiology 6: 127 (2015) 1664-042X http://hdl.handle.net/10261/152656 10.3389/fphys.2015.00127 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100003741 http://dx.doi.org/10.13039/100006754 26005422 en #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FIS2013-44674-P Publisher's version https://doi.org/10.3389/fphys.2015.00127 Sí open Frontiers Media |
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Criticality Powerlaws Hierarchical modular networks Neural networks Generegulatory networks Evolution Robustness Criticality Powerlaws Hierarchical modular networks Neural networks Generegulatory networks Evolution Robustness |
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Criticality Powerlaws Hierarchical modular networks Neural networks Generegulatory networks Evolution Robustness Criticality Powerlaws Hierarchical modular networks Neural networks Generegulatory networks Evolution Robustness Valverde, Sergi Oshe, Sebastian Turalska, Malgorzata West, Bruce J. García-Ojalvo, Jordi Structural determinants of criticality in biological networks |
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Many adaptive evolutionary systems display spatial and temporal features, such as long-range correlations, typically associated with the critical point of a phase transition in statistical physics. Empirical and theoretical studies suggest that operating near criticality enhances the functionality of biological networks, such as brain and gene networks, in terms for instance of information processing, robustness, and evolvability. While previous studies have explained criticality with specific system features, we still lack a general theory of critical behavior in biological systems. Here we look at this problem from the complex systems perspective, since in principle all critical biological circuits have in common the fact that their internal organization can be described as a complex network. An important question is how self-similar structure influences self-similar dynamics. Modularity and heterogeneity, for instance, affect the location of critical points and can be used to tune the system toward criticality. We review and discuss recent studies on the criticality of neuronal and genetic networks, and discuss the implications of network theory when assessing the evolutionary features of criticality. |
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Ministerio de Economía y Competitividad (España) |
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Ministerio de Economía y Competitividad (España) Valverde, Sergi Oshe, Sebastian Turalska, Malgorzata West, Bruce J. García-Ojalvo, Jordi |
format |
artículo |
topic_facet |
Criticality Powerlaws Hierarchical modular networks Neural networks Generegulatory networks Evolution Robustness |
author |
Valverde, Sergi Oshe, Sebastian Turalska, Malgorzata West, Bruce J. García-Ojalvo, Jordi |
author_sort |
Valverde, Sergi |
title |
Structural determinants of criticality in biological networks |
title_short |
Structural determinants of criticality in biological networks |
title_full |
Structural determinants of criticality in biological networks |
title_fullStr |
Structural determinants of criticality in biological networks |
title_full_unstemmed |
Structural determinants of criticality in biological networks |
title_sort |
structural determinants of criticality in biological networks |
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Frontiers Media |
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2015-05-08 |
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http://hdl.handle.net/10261/152656 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100003741 http://dx.doi.org/10.13039/100006754 |
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