Descripción
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Self-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. | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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Scientific Reports |
ISSN
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2045-2322 |
Factor de impacto JCR
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5,228 |
Información de impacto
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Volumen
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6 |
DOI
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10.1038/srep21360 |
Número de revista
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6 |
Desde la página
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21360-1 |
Hasta la página
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21360-9 |
Mes
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SIN MES |
Ranking
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