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Complex structures and behavior from elementary adaptive network automata


Wechsler, Daniel; Stoop, Ruedi (2015). Complex structures and behavior from elementary adaptive network automata. In: Mantica, Giorgio; et al. Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences. Cham: Springer, 105-126.

Abstract

Adaptive networks are systems where a network structure evolves in interaction with, and depending on, node dynamics and where the node dynamics evolution depends on the actual network structure. This is a setting of fundamental relevance for neuronal culture development, for which often power law characteristics and indications of a critical state are found. Investigating an extremely simple instance of this computational paradigm of adaptive networks, we find particular rules and parameters for which power-law statistics emerge, which provides evidence that this fundamental framework is able to provide robust network structure evolution towards a critical state, an issue of great current interest.

Abstract

Adaptive networks are systems where a network structure evolves in interaction with, and depending on, node dynamics and where the node dynamics evolution depends on the actual network structure. This is a setting of fundamental relevance for neuronal culture development, for which often power law characteristics and indications of a critical state are found. Investigating an extremely simple instance of this computational paradigm of adaptive networks, we find particular rules and parameters for which power-law statistics emerge, which provides evidence that this fundamental framework is able to provide robust network structure evolution towards a critical state, an issue of great current interest.

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Additional indexing

Item Type:Book Section, not_refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Date:11 September 2015
Deposited On:21 Feb 2018 15:47
Last Modified:13 Apr 2018 11:37
Publisher:Springer
Number of Pages:22
ISBN:978-3-319-47810-4_10
OA Status:Closed
Publisher DOI:https://doi.org/10.1007/978-3-319-47810-4_10

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