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Multicluster States in Adaptive Networks of Coupled Phase Oscillators

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Patterns of Synchrony in Complex Networks of Adaptively Coupled Oscillators

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Abstract

In this chapter, we analyze multicluster states in a network of adaptively coupled phase oscillators. Multicluster states are composed of several one-clusters with distinct frequencies. Starting from random initial conditions, our numerical simulations show two different types of states. These are the splay and the antipodal type multicluster states. A third mixed type multicluster state is found by specially prepared initial conditions. For all these states the collective motion of oscillators, the shape of the coupling structure, and the interaction between the frequency clusters are presented in detail. It turns out that due to the adaptive dynamics of the coupling weights, the oscillators are able to form groups of strongly connected units. The interaction between the groups is weak compared to the interaction within the groups. We provide an analytical description for the existence of multicluster states by using methods from asymptotic analysis. Employing the fact of weak inter-cluster coupling, we find stability conditions for multicluster states.

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References

  1. Kasatkin DV, Yanchuk S, Schöll E, Nekorkin VI (2017) Self-organized emergence of multi-layer structure and chimera states in dynamical networks with adaptive couplings. Phys Rev E 96:062211

    Article  ADS  Google Scholar 

  2. Berner R, Schöll E, Yanchuk S (2019) Multiclusters in networks of adaptively coupled phase oscillators. SIAM J Appl Dyn Syst 18:2227

    Article  MathSciNet  Google Scholar 

  3. Berner R, Fialkowski J, Kasatkin DV, Nekorkin VI, Yanchuk S, Schöll E (2019) Hierarchical frequency clusters in adaptive networks of phase oscillators. Chaos 29:103134

    Article  ADS  MathSciNet  Google Scholar 

  4. Nichols S, Wiesenfeld K (1992) Ubiquitous neutral stability of splay-phase states. Phys Rev A 45:8430

    Article  ADS  Google Scholar 

  5. Strogatz SH, Mirollo RE (1993) Splay states in globally coupled Josephson arrays: analytical prediction of Floquet multipliers. Phys Rev E 47:220

    Article  ADS  Google Scholar 

  6. Choe CU, Dahms T, Hövel P, Schöll E (2010) Controlling synchrony by delay coupling in networks: from in-phase to splay and cluster states. Phys Rev E 81:025205(R)

    Article  ADS  Google Scholar 

  7. Burylko O, Pikovsky A (2011) Desynchronization transitions in nonlinearly coupled phase oscillators. Phys D 240:1352

    Article  MathSciNet  Google Scholar 

  8. Ashwin P, Bick C, Burylko O (2016) Identical phase oscillator networks: bifurcations, symmetry and reversibility for generalized coupling. Front Appl Math Stat 2

    Google Scholar 

  9. Kasatkin DV, Klinshov V, Nekorkin VI (2019) Itinerant chimeras in an adaptive network of pulse-coupled oscillators. Phys Rev E 99:022203

    Article  ADS  Google Scholar 

  10. Verhulst F (2006) Methods and applications of singular perturbations: boundary layers and multiple timescale dynamics. Springer, Berlin

    Google Scholar 

  11. Lücken L, Yanchuk S (2012) Two-cluster bifurcations in systems of globally pulse-coupled oscillators. Phys D 241:350

    Article  Google Scholar 

  12. Fröhlich F (2016) Network neuroscience. Academic, Cambridge

    Google Scholar 

  13. Popovych OV, Xenakis MN, Tass PA (2015) The spacing principle for unlearning abnormal neuronal synchrony. PLoS ONE 10:e0117205

    Article  Google Scholar 

  14. Chakravartula S, Indic P, Sundaram B, Killingback T (2017) Emergence of local synchronization in neuronal networks with adaptive couplings. PLoS ONE 12:e0178975

    Article  Google Scholar 

  15. Röhr V, Berner R, Lameu EL, Popovych OV, Yanchuk S (2019) Frequency cluster formation and slow oscillations in neural populations with plasticity. PLoS ONE 14:e0225094

    Article  Google Scholar 

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Correspondence to Rico Berner .

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Berner, R. (2021). Multicluster States in Adaptive Networks of Coupled Phase Oscillators. In: Patterns of Synchrony in Complex Networks of Adaptively Coupled Oscillators. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-030-74938-5_5

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