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Two classes of functional connectivity in dynamical processes in networks
V. Voutsa, D. Battaglia, LJ. Bracken, A. Brovelli, J. Costescu, M. Díaz Muñoz, BD. Fath, A. Funk, M. Guirro, T. Hein, C. Kerschner, C. Kimmich, V. Lima, A. Messé, AJ. Parsons, J. Perez, R. Pöppl, C. Prell, S. Recinos, Y. Shi, S. Tiwari, L....
Jazyk angličtina Země Velká Británie
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Free Medical Journals
od 2004
PubMed Central
od 2004 do Před 1 rokem
Europe PubMed Central
od 2004 do Před 1 rokem
Open Access Digital Library
od 2004-01-01
Open Access Digital Library
od 2004-11-22
PubMed
34665977
DOI
10.1098/rsif.2021.0486
Knihovny.cz E-zdroje
- MeSH
- ekologie * MeSH
- ekosystém * MeSH
- mozek MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
The relationship between network structure and dynamics is one of the most extensively investigated problems in the theory of complex systems of recent years. Understanding this relationship is of relevance to a range of disciplines-from neuroscience to geomorphology. A major strategy of investigating this relationship is the quantitative comparison of a representation of network architecture (structural connectivity, SC) with a (network) representation of the dynamics (functional connectivity, FC). Here, we show that one can distinguish two classes of functional connectivity-one based on simultaneous activity (co-activity) of nodes, the other based on sequential activity of nodes. We delineate these two classes in different categories of dynamical processes-excitations, regular and chaotic oscillators-and provide examples for SC/FC correlations of both classes in each of these models. We expand the theoretical view of the SC/FC relationships, with conceptual instances of the SC and the two classes of FC for various application scenarios in geomorphology, ecology, systems biology, neuroscience and socio-ecological systems. Seeing the organisation of dynamical processes in a network either as governed by co-activity or by sequential activity allows us to bring some order in the myriad of observations relating structure and function of complex networks.
Aix Marseille Université CNRS Institut de Neurosciences de la Timone Marseille France
Aix Marseille Université Inserm Institut de Neurosciences des Systèmes Marseille France
Department of Biological Sciences Towson University Towson Maryland 21252 USA
Department of Cultural Geography University of Groningen 9747 AD Groningen The Netherlands
Department of Environmental Studies Masaryk University 60200 Brno Czech Republic
Department of Geography Durham University Durham DH1 3LE UK
Department of Life Sciences and Chemistry Jacobs University Bremen 28759 Bremen Germany
Department of Sustainability Governance and Methods Modul University Vienna 1190 Vienna Austria
Institute of Hydrobiology and Aquatic Ecosystem Management 1180 Vienna Austria
Regional Science and Environmental Research Institute for Advanced Studies 1080 Vienna Austria
University of Strasbourg Institute for Advanced Studies Strasbourg 67083 France
WasserCluster Lunz Biologische Station GmbH Dr Carl Kupelwieser Promenade 5 3293 Lunz am See Austria
Citace poskytuje Crossref.org
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