Title | Self-organization of network dynamics into local quantized states |
Publication Type | Journal Article |
Year of Publication | 2016 |
Authors | Nicolaides, C, Juanes, R, Cueto-Felgueroso, L |
Journal | Scientific Reports |
Issue | 1 |
Date Published | Jan-08-2016 |
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. |
URL | http://www.nature.com/articles/srep21360 |
DOI | 10.1038/srep21360 |
Short Title | Sci Rep |