Boolean dynamics revisited through feedback interconnections

Detalhes bibliográficos
Autor(a) principal: Chaves, Madalena
Data de Publicação: 2020
Outros Autores: Figueiredo, Daniel, Martins, Manuel A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/27738
Resumo: Boolean models of physical or biological systems describe the global dynamics of the system and their attractors typically represent asymptotic behaviors. In the case of large networks composed of several modules, it may be difficult to identify all the attractors. To explore Boolean dynamics from a novel viewpoint, we will analyse the dynamics emerging from the composition of two known Boolean modules. The state transition graphs and attractors for each of the modules can be combined to construct a new asymptotic graph which will (1) provide a reliable method for attractor computation with partial information; (2) illustrate the differences in dynamical behavior induced by the updating strategy (asynchronous, synchronous, or mixed); and (3) show the inherited organization/structure of the original network’s state transition graph.
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spelling Boolean dynamics revisited through feedback interconnectionsBoolean modelsFeedback interconnectionsAttractor computationAsynchronous versus synchronous updatesBoolean models of physical or biological systems describe the global dynamics of the system and their attractors typically represent asymptotic behaviors. In the case of large networks composed of several modules, it may be difficult to identify all the attractors. To explore Boolean dynamics from a novel viewpoint, we will analyse the dynamics emerging from the composition of two known Boolean modules. The state transition graphs and attractors for each of the modules can be combined to construct a new asymptotic graph which will (1) provide a reliable method for attractor computation with partial information; (2) illustrate the differences in dynamical behavior induced by the updating strategy (asynchronous, synchronous, or mixed); and (3) show the inherited organization/structure of the original network’s state transition graph.Springer2020-03-02T12:52:53Z2020-03-01T00:00:00Z2020-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/27738eng1567-781810.1007/s11047-018-9716-8Chaves, MadalenaFigueiredo, DanielMartins, Manuel A.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:53:52Zoai:ria.ua.pt:10773/27738Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:00:29.361661Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Boolean dynamics revisited through feedback interconnections
title Boolean dynamics revisited through feedback interconnections
spellingShingle Boolean dynamics revisited through feedback interconnections
Chaves, Madalena
Boolean models
Feedback interconnections
Attractor computation
Asynchronous versus synchronous updates
title_short Boolean dynamics revisited through feedback interconnections
title_full Boolean dynamics revisited through feedback interconnections
title_fullStr Boolean dynamics revisited through feedback interconnections
title_full_unstemmed Boolean dynamics revisited through feedback interconnections
title_sort Boolean dynamics revisited through feedback interconnections
author Chaves, Madalena
author_facet Chaves, Madalena
Figueiredo, Daniel
Martins, Manuel A.
author_role author
author2 Figueiredo, Daniel
Martins, Manuel A.
author2_role author
author
dc.contributor.author.fl_str_mv Chaves, Madalena
Figueiredo, Daniel
Martins, Manuel A.
dc.subject.por.fl_str_mv Boolean models
Feedback interconnections
Attractor computation
Asynchronous versus synchronous updates
topic Boolean models
Feedback interconnections
Attractor computation
Asynchronous versus synchronous updates
description Boolean models of physical or biological systems describe the global dynamics of the system and their attractors typically represent asymptotic behaviors. In the case of large networks composed of several modules, it may be difficult to identify all the attractors. To explore Boolean dynamics from a novel viewpoint, we will analyse the dynamics emerging from the composition of two known Boolean modules. The state transition graphs and attractors for each of the modules can be combined to construct a new asymptotic graph which will (1) provide a reliable method for attractor computation with partial information; (2) illustrate the differences in dynamical behavior induced by the updating strategy (asynchronous, synchronous, or mixed); and (3) show the inherited organization/structure of the original network’s state transition graph.
publishDate 2020
dc.date.none.fl_str_mv 2020-03-02T12:52:53Z
2020-03-01T00:00:00Z
2020-03
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url http://hdl.handle.net/10773/27738
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1567-7818
10.1007/s11047-018-9716-8
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dc.publisher.none.fl_str_mv Springer
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