Adaptive coupling induced recurrence of phase coalescence
Guoshen Liang,
Wenbin Mao,
Yong Zou and
Zonghua Liu
Chaos, Solitons & Fractals, 2025, vol. 199, issue P2
Abstract:
It is well known that there are various rhythms in human brain and the brain system can quickly switch from one rhythm to another, especially in the resting-state of brain, but its mechanism is still not completely understood. To go a further step toward this problem, here we present an adaptive model of the Kuramoto oscillators from the angle of phase coalescence. We find that the adaptive coupling can induce a recurrence of spike-like phase coalescence for the case that the non-adaptive coupling does not allow for such a phase coalescence, and the transient time Ttr for the appearance of phase coalescence depends on the coupling strength K0 in a power law relationship. We show that this feature of spike-like phase coalescence favors the fast switching between different frequency combs. Further, we find that the spike-like recurrence of phase coalescence will become shoulder-like when the coupling is nearby the critical point, and the shoulder width Ts depends on the distance to the critical point in another power law. Then, we extend the model to the case of biharmonic coupling function and find that the transient time Ttr can be adjusted by the parameter γ and there is an optimal γ. Moreover, a rigorous theoretical analysis is presented to explain these results.
Keywords: Kuramoto oscillators; Adaptive coupling; Recurrence of phase coalescence; Rhythms; Switching between rhythms; Critical point (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077925008100
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:199:y:2025:i:p2:s0960077925008100
DOI: 10.1016/j.chaos.2025.116797
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().