Classification of Networks with Asymmetric Inputs
Manuela Aguiar, Ana Dias, Pedro Soares

TL;DR
This paper classifies coupled cell networks with asymmetric inputs, proving finiteness of ODE-classes, identifying minimal networks, and providing a complete classification for small cases.
Contribution
It establishes the finiteness of ODE-classes for asymmetric input networks and characterizes minimal networks, advancing the understanding of network equivalence classes.
Findings
Number of ODE-classes is finite for fixed n
All minimal networks with n(n-1) asymmetric inputs are ODE-equivalent
Complete classification for 3-cell networks with 2 inputs
Abstract
Coupled cell systems associated with a coupled cell network are determined by (smooth) vector fields that are consistent with the network structure. Here, we follow the formalisms of Stewart, Golubitsky and Pivato (Symmetry groupoids and patterns of synchrony in coupled cell networks, SIAM J. Appl. Dyn. Syst. 2 (4) (2003) 609--646), Golubistky, Stewart and Torok (Patterns of synchrony in coupled cell networks with multiple arrows, SIAM J. Appl. Dynam. Sys. 4 (1) (2005) 78--100) and Field (Combinatorial dynamics, Dynamical Systems 19 (2004) (3) 217--243). It is known that two non-isomorphic n-cell coupled networks can determine the same sets of vector fields -- these networks are said to be ODE-equivalent. The set of all n-cell coupled networks is so partitioned into classes of ODE-equivalent networks. With no further restrictions, the number of ODE-classes is not finite and each class…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
