Self-organization of network dynamics into local quantized states

Nicolaides, Christos; Juanes, Ruben; Cueto-Felgueroso, Luis

doi:10.1038/srep21360

Title: Self-organization of network dynamics into local quantized states

Journal Article · Wed Feb 17 00:00:00 EST 2016 · Scientific Reports

DOI:https://doi.org/10.1038/srep21360· OSTI ID:1242244

Nicolaides, Christos ^[1]; Juanes, Ruben ^[1]; Cueto-Felgueroso, Luis ^[2]

Massachusetts Institute of Technology, Cambridge, MA (United States)
Massachusetts Institute of Technology, Cambridge, MA (United States); Univ. of Madrid (Spain)

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. Thus, 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.

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Research Organization:: Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: SC0003907

OSTI ID:: 1242244

Journal Information:: Scientific Reports, Vol. 6; ISSN 2045-2322

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 5 works

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