Title
Deriving Information about Architecture from Activity Patterns in Coupled Cell Systems
Abstract
In coupled networks, the properties of the constituent elements ( cells), their interactions, and the coupling architecture combine to determine the possible coherent states that may arise. In this work, we examine what can be said about the coupling architecture of a network based on an observed polysynchronous activity pattern, in which cells form multiple synchronized clusters. Specifically, we derive a linear relation, the solutions of which are precisely those coupling architectures that are robustly compatible with a given polysynchronous state. We analyze this relation under the assumption that the network consists of either a ring of identical cells or a double ring of two interacting cell populations. Comparison of these cases shows that coupling of an "observed" layer of cells to a second "hidden" layer can significantly broaden the range of architectures that support certain clustering patterns in the observed cells.
Year
DOI
Venue
2005
10.1137/040607587
SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS
Keywords
Field
DocType
network coupling architecture,polysynchronous states,balanced coloring
Topology,Cluster (physics),Architecture,Coupling,Mathematical analysis,Theoretical computer science,Cluster analysis,Coherent states,Linear relation,Mathematics
Journal
Volume
Issue
ISSN
4
1
1536-0040
Citations 
PageRank 
References 
1
0.41
4
Authors
2
Name
Order
Citations
PageRank
Kresimir Josic112316.63
Jonathan E. Rubin223531.34