Literature DB >> 35977934

Emergent hypernetworks in weakly coupled oscillators.

Eddie Nijholt1, Jorge Luis Ocampo-Espindola2, Deniz Eroglu3, István Z Kiss2, Tiago Pereira4,5.   

Abstract

Networks of weakly coupled oscillators had a profound impact on our understanding of complex systems. Studies on model reconstruction from data have shown prevalent contributions from hypernetworks with triplet and higher interactions among oscillators, in spite that such models were originally defined as oscillator networks with pairwise interactions. Here, we show that hypernetworks can spontaneously emerge even in the presence of pairwise albeit nonlinear coupling given certain triplet frequency resonance conditions. The results are demonstrated in experiments with electrochemical oscillators and in simulations with integrate-and-fire neurons. By developing a comprehensive theory, we uncover the mechanism for emergent hypernetworks by identifying appearing and forbidden frequency resonant conditions. Furthermore, it is shown that microscopic linear (difference) coupling among units results in coupled mean fields, which have sufficient nonlinearity to facilitate hypernetworks. Our findings shed light on the apparent abundance of hypernetworks and provide a constructive way to predict and engineer their emergence.
© 2022. The Author(s).

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Year:  2022        PMID: 35977934      PMCID: PMC9385626          DOI: 10.1038/s41467-022-32282-4

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   17.694


  28 in total

1.  Transcription-based oscillator model for light-induced splitting as antiphase circadian gene expression in the suprachiasmatic nuclei.

Authors:  Sondra Schroder; Erik D Herzog; István Z Kiss
Journal:  J Biol Rhythms       Date:  2012-02       Impact factor: 3.182

2.  Phase-response curves and synchronized neural networks.

Authors:  Roy M Smeal; G Bard Ermentrout; John A White
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-08-12       Impact factor: 6.237

3.  Weak pairwise correlations imply strongly correlated network states in a neural population.

Authors:  Elad Schneidman; Michael J Berry; Ronen Segev; William Bialek
Journal:  Nature       Date:  2006-04-09       Impact factor: 49.962

4.  Exotic states in a simple network of nanoelectromechanical oscillators.

Authors:  Matthew H Matheny; Jeffrey Emenheiser; Warren Fon; Airlie Chapman; Anastasiya Salova; Martin Rohden; Jarvis Li; Mathias Hudoba de Badyn; Márton Pósfai; Leonardo Duenas-Osorio; Mehran Mesbahi; James P Crutchfield; M C Cross; Raissa M D'Souza; Michael L Roukes
Journal:  Science       Date:  2019-03-08       Impact factor: 47.728

5.  Higher-order interactions stabilize dynamics in competitive network models.

Authors:  Jacopo Grilli; György Barabás; Matthew J Michalska-Smith; Stefano Allesina
Journal:  Nature       Date:  2017-07-26       Impact factor: 49.962

6.  Chaos in generically coupled phase oscillator networks with nonpairwise interactions.

Authors:  Christian Bick; Peter Ashwin; Ana Rodrigues
Journal:  Chaos       Date:  2016-09       Impact factor: 3.642

7.  Robust Weak Chimeras in Oscillator Networks with Delayed Linear and Quadratic Interactions.

Authors:  Christian Bick; Michael Sebek; István Z Kiss
Journal:  Phys Rev Lett       Date:  2017-10-19       Impact factor: 9.161

8.  Synchronization and amplitude death in hypernetworks.

Authors:  Shakir Bilal; Ramakrishna Ramaswamy
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-06-27

Review 9.  Two's company, three (or more) is a simplex : Algebraic-topological tools for understanding higher-order structure in neural data.

Authors:  Chad Giusti; Robert Ghrist; Danielle S Bassett
Journal:  J Comput Neurosci       Date:  2016-06-11       Impact factor: 1.621

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