Emergent hypernetworks in weakly coupled oscillators

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Date

2022

Authors

Nijholt, Eddie
Ocampo-Espindola, Jorge Luis
Eroglu, Deniz
Kiss, Istvan Z.
Pereira, Tiago

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Publisher

Nature Portfolio

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GOLD

Green Open Access

Yes

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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.

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Keywords

Dynamics, Dynamics, Artificial intelligence, Complex system, Computer Networks and Communications, Science, Cognitive Neuroscience, Biomedical Engineering, Dynamical Systems (math.DS), FOS: Medical engineering, 530, Complex Networks, Pairwise comparison, Quantum mechanics, Article, Engineering, Dynamics of Synchronization in Complex Networks, FOS: Mathematics, Coupling (piping), Mathematics - Dynamical Systems, Biologically Inspired Adaptive Network Design, Neuronal Oscillations in Cortical Networks, Neurons, Physics, Q, Life Sciences, Complex network, Computer science, Materials science, Dynamics, Constructive, Process (computing), World Wide Web, Operating system, Computer Science, Physical Sciences, Metallurgy, Nonlinear system, Statistical physics, Neuroscience

Fields of Science

0301 basic medicine, 03 medical and health sciences, 0303 health sciences

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Q1

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OpenCitations Citation Count
19

Source

Nature Communications

Volume

13

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1

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Scopus : 25

PubMed : 5

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26

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27

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1

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24

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