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Synchronization is an essential property of engineered and natural networked dynamical systems. The Kuramoto model of nonlinear synchronization has been widely studied in applications including entrainment of clock cells in brain networks…

系统与控制 · 电气工程与系统科学 2020-04-01 Dinuka Sahabandu , Andrew Clark , Linda Bushnell , Radha Poovendran

Cluster synchronisation is a key phenomenon observed in networks of coupled dynamical units. Its presence has been linked to symmetry and, more generally, to equability of the underlying pattern of interactions between dynamical units.…

We study the synchronization of a small-world network of identical coupled phase oscillators with Kuramoto interaction. First, we consider the model with instantaneous mutual interaction and the normalized coupling constant to the degree of…

无序系统与神经网络 · 物理学 2017-05-23 Sara Ameli , Farhad Shahbazi , Maryam Karimian , Tahereh Malakoutikhah

Much recent empirical evidence shows that \textit{community structure} is ubiquitous in the real-world networks. In this Letter, we propose a growth model to create scale-free networks with the tunable strength (noted by $Q$) of community…

数据分析、统计与概率 · 物理学 2007-05-23 Gang Yan , Zhong-Qian Fu , Jie Ren , Wen-Xu Wang

This article investigates the emergence of phase synchronization in a network of randomly connected neurons by chemical synapses. The study uses the classic Hodgkin-Huxley model to simulate the neuronal dynamics under the action of a train…

We consider the inertial Kuramoto model of $N$ globally coupled oscillators characterized by both their phase and angular velocity, in which there is a time delay in the interaction between the oscillators. Besides the academic interest, we…

适应与自组织系统 · 物理学 2020-05-29 David Métivier , Lucas Wetzel , Shamik Gupta

For original Kuramoto models with nonidentical oscillators, it is impossible to realize complete phase synchronization. However, this paper reveals that complete phase synchronization can be achieved for a large class of high-dimensional…

动力系统 · 数学 2022-08-23 Yushi Shi , Ting Li , Jiandong Zhu

Causal relations among neuronal populations of the brain are studied through the so-called effective connectivity (EC) network. The latter is estimated from EEG or fMRI measurements, by inverting a generative model of the corresponding…

系统与控制 · 计算机科学 2018-02-16 Giulia Prando , Mattia Zorzi , Alessandra Bertoldo , Alessandro Chiuso

A paradigmatic framework to study the phenomenon of spontaneous collective synchronization is provided by the Kuramoto model comprising a large collection of limit-cycle oscillators of distributed frequencies that are globally coupled…

适应与自组织系统 · 物理学 2020-09-08 Mrinal Sarkar , Shamik Gupta

Most real-world networks exhibit a significant degree of modularity. Understanding the effects of such topology on dynamical processes is pivotal for advances in social and natural sciences. In this work we consider the dynamics of Kuramoto…

适应与自组织系统 · 物理学 2026-03-20 Leonardo L. Bosnardo , Marcus A. M. de Aguiar

Population bursts in a large ensemble of coupled elements result from the interplay between the local excitable properties of the nodes and the global network topology. Here collective excitability and self-sustained bursting oscillations…

适应与自组织系统 · 物理学 2025-05-29 Marzena Ciszak , Francesco Marino , Alessandro Torcini , Simona Olmi

We report a new mechanism through which extreme events with a dragon king-like distribution emerge in a network of unidirectional ring of Hindmarsh-Rose bursting neurons interacting through chemical synapses. We establish and substantiate…

混沌动力学 · 物理学 2024-12-31 Ardhanareeswaran R Sree , Sudharsan S , Senthilvelan M , Dibakar Ghosh

This work presents a frequency multiplexed 3-limit cycles network in a multimode microelectromechanical nonlinear resonator. The network is composed of libration limit cycles and behaves in an analogous manner to a phase oscillator network.…

应用物理 · 物理学 2022-01-07 Samer Houri , Motoki Asano , Hajime Okamoto , Hiroshi Yamaguchi

Synchronization is an omnipresent collective phenomenon in nature and technology, whose understanding is in particular for real-world systems still elusive. We study the synchronization transition in a phase oscillator system with two…

适应与自组织系统 · 物理学 2023-08-02 Rico Berner , Annie Lu , Igor M. Sokolov

In this paper, by extending the concept of Kuramoto oscillator to the left-invariant flow on general Lie group, we investigate the generalized phase synchronization on networks. The analyses and simulations of some typical dynamical systems…

统计力学 · 物理学 2015-06-25 Zhi-Ming Gu , Ming Zhao , Tao Zhou , Chen-Ping Zhu , Bing-Hong Wang

The Kuramoto model can be formulated as a gradient flow on a nonconvex energy landscape of the form $E(\boldsymbol{\theta}) := \frac{1}{2} \sum_{1\le i,j\le n} A_{ij}\bigl(1-\cos(\theta_i-\theta_j)\bigr).$ A fundamental question is to…

动力系统 · 数学 2026-02-06 Hongjin Wu , Ulrik Brandes

The onset of synchronization in a system of random frequency oscillators coupled through a random network is investigated. Using a mean-field approximation, we characterize sample-to-sample fluctuations for networks of finite size, and…

统计力学 · 物理学 2009-11-13 Hyunsuk Hong , Hyunggyu Park , Lei-Han Tang

We investigate the role of the spectral dimension $d_s$ in determining the universality of phase transitions on a complex network. Due to its structural heterogeneity, a complex network generally acts as a disordered system. Specifically,…

统计力学 · 物理学 2024-07-30 Mrinal Sarkar , Tilman Enss , Nicolò Defenu

In this paper we study synchronization of random clustered networks consisting of Kuramoto oscillators. More specifically, by developing a mean-field analysis, we find that the presence of cycles of order three does not play an important…

We investigated the influence of efficacy of synaptic interaction on firing synchronization in excitatory neuronal networks. We found spike death phenomena, namely, the state of neurons transits from limit cycle to fixed point or transient…

无序系统与神经网络 · 物理学 2009-11-13 Sheng-Jun Wang , Xin-Jian Xu , Zhi-Xi Wu , Zi-Gang Huang , Ying-Hai Wang