Coarse-Grained Descriptions of Dynamics for Networks with Both Intrinsic and Structural Heterogeneities

Finding accurate reduced descriptions for large, complex, dynamically evolving networks is a crucial enabler to their simulation, analysis, and ultimately design. Here, we propose and illustrate a systematic and powerful approach to obtaining good collective coarse-grained observables—variables succ...

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Bibliographic Details
Main Authors: Tom Bertalan, Yan Wu, Carlo Laing, C. William Gear, Ioannis G. Kevrekidis
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-06-01
Series:Frontiers in Computational Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fncom.2017.00043/full