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Designing Heteroclinic and Excitable Networks in Phase Space Using Two Populations of Coupled Cells

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Abstract

We give a constructive method for realising an arbitrary directed graph (with no one-cycles) as a heteroclinic or an excitable dynamic network in the phase space of a system of coupled cells of two types. In each case, the system is expressed as a system of first-order differential equations. One of the cell types (the p-cells) interacts by mutual inhibition and classifies which vertex (state) we are currently close to, while the other cell type (the y-cells) excites the p-cells selectively and becomes active only when there is a transition between vertices. We exhibit open sets of parameter values such that these dynamical networks exist and demonstrate via numerical simulation that they can be attractors for suitably chosen parameters.

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Notes

  1. Excitable networks in this sense have been considered before (for example, see Ashwin et al. 2007), but should not be confused with networks of coupled excitable units (for example see Lindner et al. 2004), that may or may not have excitable networks in phase space, depending on the coupling.

  2. We refer to a “(weak) heteroclinic network (in phase space)” simply as a “heteroclinic network” for the remainder of the paper.

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Acknowledgments

We thank the following for stimulating conversations that contributed to the development of this paper: Mike Field, Marc Timme, John Terry, Ilze Ziedins. We also thank the London Mathematical Society for support of a visit of CMP to Exeter, the University of Auckland Research Council for supporting a visit of PA to Auckland during the development of this research and a referee for a number of questions that helped clarify the exposition. We are grateful to the Mathematics Departments at both Exeter and Auckland Universities for their hospitality during these visits.

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Correspondence to Peter Ashwin.

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Communicated by Paul Newton.

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Ashwin, P., Postlethwaite, C. Designing Heteroclinic and Excitable Networks in Phase Space Using Two Populations of Coupled Cells. J Nonlinear Sci 26, 345–364 (2016). https://doi.org/10.1007/s00332-015-9277-2

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