Literature DB >> 21405399

Kuramoto model of coupled oscillators with positive and negative coupling parameters: an example of conformist and contrarian oscillators.

Hyunsuk Hong1, Steven H Strogatz.   

Abstract

We consider a generalization of the Kuramoto model in which the oscillators are coupled to the mean field with random signs. Oscillators with positive coupling are "conformists"; they are attracted to the mean field and tend to synchronize with it. Oscillators with negative coupling are "contrarians"; they are repelled by the mean field and prefer a phase diametrically opposed to it. The model is simple and exactly solvable, yet some of its behavior is surprising. Along with the stationary states one might have expected (a desynchronized state, and a partially-synchronized state, with conformists and contrarians locked in antiphase), it also displays a traveling wave, in which the mean field oscillates at a frequency different from the population's mean natural frequency.

Year:  2011        PMID: 21405399     DOI: 10.1103/PhysRevLett.106.054102

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  28 in total

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Review 3.  Cell signaling as a cognitive process.

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Journal:  Sci Rep       Date:  2018-08-28       Impact factor: 4.379

5.  Nonreciprocity as a generic route to traveling states.

Authors:  Zhihong You; Aparna Baskaran; M Cristina Marchetti
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-04       Impact factor: 11.205

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7.  Interaction function of oscillating coupled neurons.

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8.  Non-reciprocal phase transitions.

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Journal:  Nature       Date:  2021-04-14       Impact factor: 49.962

9.  How to suppress undesired synchronization.

Authors:  V H P Louzada; N A M Araújo; J S Andrade; H J Herrmann
Journal:  Sci Rep       Date:  2012-09-17       Impact factor: 4.379

10.  Fashion, cooperation, and social interactions.

Authors:  Zhigang Cao; Haoyu Gao; Xinglong Qu; Mingmin Yang; Xiaoguang Yang
Journal:  PLoS One       Date:  2013-01-31       Impact factor: 3.240

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