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dc.contributor.authorNicolaides, Christos
dc.contributor.authorJuanes, Ruben
dc.contributor.authorCueto-Felgueroso, Luis
dc.date.accessioned2016-03-25T14:54:53Z
dc.date.available2016-03-25T14:54:53Z
dc.date.issued2016-02
dc.date.submitted2015-10
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/1721.1/101869
dc.description.abstractSelf-organization and pattern formation in network-organized systems emerges from the collective activation and interaction of many interconnected units. A striking feature of these non-equilibrium structures is that they are often localized and robust: only a small subset of the nodes, or cell assembly, is activated. Understanding the role of cell assemblies as basic functional units in neural networks and socio-technical systems emerges as a fundamental challenge in network theory. A key open question is how these elementary building blocks emerge, and how they operate, linking structure and function in complex networks. Here we show that a network analogue of the Swift-Hohenberg continuum model—a minimal-ingredients model of nodal activation and interaction within a complex network—is able to produce a complex suite of localized patterns. Hence, the spontaneous formation of robust operational cell assemblies in complex networks can be explained as the result of self-organization, even in the absence of synaptic reinforcements.en_US
dc.description.sponsorshipMassachusetts Institute of Technology (Vergottis Graduate Fellowship)en_US
dc.description.sponsorshipJames S. McDonnell Foundation (Postdoctoral Fellowship in Studying Complex Systems RYC-2012-11704)en_US
dc.description.sponsorshipUnited States. Dept. of Energy (CAREER Award Grant DE-SC0003907)en_US
dc.description.sponsorshipUnited States. Dept. of Energy. Mathematical Multifaceted Integrated Capability Center (Grant DE-SC0009286)en_US
dc.description.sponsorshipSpain. Ministerio de Economia y Competitividad (Ramon y Cajal Fellowship)en_US
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/srep21360en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceNature Publishing Groupen_US
dc.titleSelf-organization of network dynamics into local quantized statesen_US
dc.typeArticleen_US
dc.identifier.citationNicolaides, Christos, Ruben Juanes, and Luis Cueto-Felgueroso. “Self-Organization of Network Dynamics into Local Quantized States.” Scientific Reports 6 (February 17, 2016): 21360.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.mitauthorNicolaides, Christosen_US
dc.contributor.mitauthorJuanes, Rubenen_US
dc.contributor.mitauthorCueto-Felgueroso, Luisen_US
dc.relation.journalScientific Reportsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsNicolaides, Christos; Juanes, Ruben; Cueto-Felgueroso, Luisen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-7370-2332
dc.identifier.orcidhttps://orcid.org/0000-0002-1485-2736
dc.identifier.orcidhttps://orcid.org/0000-0003-3958-7382
mit.licensePUBLISHER_CCen_US


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