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Related papers: The Kuramoto model on a sphere: Explaining its low…

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We propose the Kuramoto Graph Neural Network (KuramotoGNN), a novel class of continuous-depth graph neural networks (GNNs) that employs the Kuramoto model to mitigate the over-smoothing phenomenon, in which node features in GNNs become…

Machine Learning · Computer Science 2024-03-07 Tuan Nguyen , Hirotada Honda , Takashi Sano , Vinh Nguyen , Shugo Nakamura , Tan M. Nguyen

Randomly coupled phase oscillators may synchronize into disordered patterns of collective motion. We analyze this transition in a large, fully connected Kuramoto model with symmetric but otherwise independent random interactions. Using the…

Statistical Mechanics · Physics 2024-05-07 Axel Prüser , Sebastian Rosmej , Andreas Engel

The celebrated Kuramoto model provides an analytically tractable framework to study spontaneous collective synchronization and comprises globally coupled limit-cycle oscillators interacting symmetrically with one another. The…

Adaptation and Self-Organizing Systems · Physics 2021-09-15 M. Manoranjani , Shamik Gupta , V. K. Chandrasekar

We construct a nontrivial generalization of the paradigmatic Kuramoto model by using an additional coupling term that explicitly breaks its rotational symmetry resulting in a variant of the Winfree Model. Consequently, we observe the…

Adaptation and Self-Organizing Systems · Physics 2023-03-01 M. Manoranjani , Shamik Gupta , D. V. Senthilkumar , V. K. Chandrasekar

The effect of phase-lag parameter in pairwise interactions has been a topic of great interest for long. However, real-world systems often have interactions that are beyond pairwise and can be modeled using simplicial complexes. We…

Adaptation and Self-Organizing Systems · Physics 2024-02-02 Bhuwan Moyal , Priyanka Rajwani , Subhasanket Dutta , Sarika Jalan

We introduce and investigate the effects of a new class of stochastic resetting protocol called subsystem resetting, whereby a subset of the system constituents in a many-body interacting system undergoes bare evolution interspersed with…

Statistical Mechanics · Physics 2024-06-19 Rupak Majumder , Rohitashwa Chattopadhyay , Shamik Gupta

Systematic discovery of reduced-order closure models for multi-scale processes remains an important open problem in complex dynamical systems. Even when an effective lower-dimensional representation exists, reduced models are difficult to…

Adaptation and Self-Organizing Systems · Physics 2021-01-04 Jordan Snyder , Anatoly Zlotnik , Andrey Y. Lokhov

We analyze particle dynamics on $N$ dimensional one-sheet hyperboloid embedded in $N+1$ dimensional Minkowski space. The dynamical integrals constructed by $SO_\uparrow (1,N)$ symmetry of spacetime are used for the gauge-invariant…

General Relativity and Quantum Cosmology · Physics 2009-10-31 George Jorjadze , Wlodzimierz Piechocki

The Kuramoto model has been introduced to describe synchronization phenomena observed in groups of cells, individuals, circuits, etc. The model consists of $N$ interacting oscillators on the one dimensional sphere $\mathbf{S}^{1}$, driven…

Probability · Mathematics 2013-01-29 Eric Luçon

We study the quantum mechanics of a system of topologically interacting particles in 2+1 dimensions, which is described by coupling the particles to a Chern-Simons gauge field of an inhomogeneous group. Analysis of the phase space shows…

High Energy Physics - Theory · Physics 2009-10-31 F. A. Bais , N. M. Muller

The Kuramoto model for an ensemble of coupled oscillators provides a paradigmatic example of non-equilibrium transitions between an incoherent and a synchronized state. Here we analyze populations of almost identical oscillators in…

Disordered Systems and Neural Networks · Physics 2013-05-30 Luce Prignano , Albert Diaz Guilera

In this paper, we will study the emergent dynamics of the discrete Kuramoto model for generic initial data. This is an extension of the previous work S.-Y. Ha et al. (2019), in which the initial configurations are supposed to be within a…

Dynamical Systems · Mathematics 2019-09-10 Xiongtao Zhang , Tingting Zhu

Stochastic resetting has emerged as a powerful mechanism for driving systems into nonequilibrium stationary states with tunable properties. While most existing studies focus on global resetting, where all degrees of freedom are…

Statistical Mechanics · Physics 2026-04-07 Rupak Majumder , Anish Acharya , Shamik Gupta

The physics of non-zero temperature dynamics and transport near quantum-critical points is discussed by a detailed study of the O(N)-symmetric, relativistic, quantum field theory of a N-component scalar field in $d$ spatial dimensions. A…

Strongly Correlated Electrons · Physics 2025-09-08 Subir Sachdev

We explore synchronization transitions in even-$D$-dimensional generalized Kuramoto oscillators on both complete graphs and $d$-dimensional lattices. In the globally coupled system, analytical expansions of the self-consistency equations,…

Statistical Mechanics · Physics 2025-05-12 Zhongpu Qiu , Tianyi Wu , Sheng Fang , Jun Meng , Jingfang Fan

We study low-dimensional dynamics in a Kuramoto model with inertia and Hebbian learning. In this model, the coupling strength between oscillators depends on the phase differences between the oscillators and changes according to a Hebbian…

Dynamical Systems · Mathematics 2023-07-31 Tachin Ruangkriengsin , Mason A. Porter

Coupled oscillators have been used to study synchronization in a wide range of social, biological, and physical systems, including pedestrian-induced bridge resonances, coordinated lighting up of firefly swarms, and enhanced output peak…

Adaptation and Self-Organizing Systems · Physics 2021-11-01 Can Xu , Xiaohuan Tang , Huaping Lü , Karin Alfaro-Bittner , Stefano Boccaletti , Matjaz Perc , Shuguang Guan

The Kuramoto model describes the synchronization of coupled oscillators that have different natural frequencies. Among the many generalizations of the original model, Kuramoto and Sakaguchi (KS) proposed a {\it frustrated} version that…

Adaptation and Self-Organizing Systems · Physics 2022-10-05 Guilhermo L. Buzanello , Ana Elisa D. Barioni , Marcus A. M. de Aguiar

We present a novel phenomenological theory describing how topological constraints in prime-knot ring polymers induce collective (cooperative) modes of motion. In low-complexity knots, chain segments can move quasi-independently. However, as…

Soft Condensed Matter · Physics 2025-03-10 Anna Lappala

It has long been known in both neuroscience and AI that ``binding'' between neurons leads to a form of competitive learning where representations are compressed in order to represent more abstract concepts in deeper layers of the network.…

Machine Learning · Computer Science 2025-05-20 Takeru Miyato , Sindy Löwe , Andreas Geiger , Max Welling
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