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Self-organization of network dynamics into local quantized states.

Abstract：

: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.

journal_name

Sci Rep

journal_title

Scientific reports

authors

Nicolaides C,Juanes R,Cueto-Felgueroso L

doi

10.1038/srep21360

subject

Has Abstract

pub_date

2016-02-17 00:00:00

pages

21360

issn

2045-2322

pii

srep21360

journal_volume

6

pub_type

杂志文章

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