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We study, numerically and analytically, the stability of synchronization for an ensemble of coupled phase oscillators with attractive and repulsive interactions, as a function of the number of repulsive couplings and their intensity.…

统计力学 · 物理学 2009-11-11 Damian H. Zanette

We study the dynamics of network-coupled phase oscillators in the presence of coupling frustration. It was recently demonstrated that in heterogeneous network topologies, the presence of coupling frustration causes perfect phase…

适应与自组织系统 · 物理学 2016-04-27 Per Sebastian Skardal , Dane Taylor , Jie Sun , Alex Arenas

The functions of many networked systems in physics, biology or engineering rely on a coordinated or synchronized dynamics of its constituents. In power grids for example, all generators must synchronize and run at the same frequency and…

适应与自组织系统 · 物理学 2017-09-13 Debsankha Manik , Marc Timme , Dirk Witthaut

We present a method to infer network connectivity from collective dynamics in networks of synchronizing phase oscillators. We study the long-term stationary response to temporally constant driving. For a given driving condition, measuring…

无序系统与神经网络 · 物理学 2009-11-11 Marc Timme

Emerging collective behavior in complex dynamical networks depends on both coupling function and underlying coupling topology. Through this perspective, we provide a brief yet profound excerpt of recent research efforts that explore how the…

物理与社会 · 物理学 2021-07-29 Soumen Majhi , Sayantan Nag Chowdhury , Dibakar Ghosh

Power grid networks, as well as neuronal networks with synaptic plasticity, describe real-world systems of tremendous importance for our daily life. The investigation of these seemingly unrelated types of dynamical networks has attracted…

适应与自组织系统 · 物理学 2021-05-17 Rico Berner , Serhiy Yanchuk , Eckehard Schöll

In this article, we analyze a nonlocal ring network of adaptively coupled phase oscillators. We observe a variety of frequency-synchronized states such as phase-locked, multicluster and solitary states. For an important subclass of the…

斑图形成与孤子 · 物理学 2020-10-28 Rico Berner , Alicja Polanska , Eckehard Schöll , Serhiy Yanchuk

We study the effect of varying wiring in excitable random networks in which connection weights change with activity to mold local resistance or facilitation due to fatigue. Dynamic attractors, corresponding to patterns of activity, are then…

无序系统与神经网络 · 物理学 2009-05-22 Samuel Johnson , J. Marro , Joaquin J. Torres

We present an analytical framework that allows the quantitative study of statistical dynamic properties of networks with adaptive nodes that have memory and is used to examine the emergence of oscillations in networks with response…

神经元与认知 · 定量生物学 2017-07-18 Amir Goldental , Herut Uzan , Shira Sardi , Ido Kanter

The stable operation of the electric power grid relies on a precisely synchronized state of all generators and machines. All machines rotate at exactly the same frequency with fixed phase differences, leading to steady power flows…

适应与自组织系统 · 物理学 2020-01-09 Chiara Balestra , Franz Kaiser , Debsankha Manik , Dirk Witthaut

For general networks of pulse-coupled oscillators, including regular, random, and more complex networks, we develop an exact stability analysis of synchronous states. As opposed to conventional stability analysis, here stability is…

无序系统与神经网络 · 物理学 2009-11-07 Marc Timme , Fred Wolf , Theo Geisel

Networks of coupled phase oscillators are one of the most studied dynamical systems with numerous applications in physics, chemistry, biology, and engineering. Their behaviour is often characterized by the emergence of various partially…

斑图形成与孤子 · 物理学 2026-02-27 Oleh E. Omel'chenko

Coupled oscillator networks show a complex interrelations between topological characteristics of the network and the nonlinear stability of single nodes with respect to large but realistic perturbations. We extend previous results on these…

混沌动力学 · 物理学 2017-04-05 Jan Nitzbon , Paul Schultz , Jobst Heitzig , Jürgen Kurths , Frank Hellmann

Network theory is rapidly changing our understanding of complex systems, but the relevance of topological features for the dynamic behavior of metabolic networks, food webs, production systems, information networks, or cascade failures of…

无序系统与神经网络 · 物理学 2007-05-23 Dirk Helbing , Ulrich Witt , Stefan Laemmer , Thomas Brenner

There is enormous interest -- both mathematically and in diverse applications -- in understanding the dynamics of coupled oscillator networks. The real-world motivation of such networks arises from studies of the brain, the heart, ecology,…

In this work, we investigate a model of an adaptive networked dynamical system, where the coupling strengths among phase oscillators coevolve with the phase states. It is shown that in this model the oscillators can spontaneously…

无序系统与神经网络 · 物理学 2010-11-02 Menghui Li , Shuguang Guan , C. -H. Lai

Characterizing the emergence of chaotic dynamics of complex networks is an essential task in nonlinear science with potential important applications in many fields such as neural control engineering, microgrid technologies, and ecological…

适应与自组织系统 · 物理学 2024-04-29 Ricardo Chacón , Pedro J. Martínez

We investigate collective dynamics in a pulse-coupled adaptive Winfree network under the influence of a frustration (phase-lag) parameter. The coupling strengths coevolve according to a Hebbian adaptation rule and self-organize to support a…

适应与自组织系统 · 物理学 2026-03-12 R. Anand , V. K. Chandrasekar , R. Suresh

The stability of synchronised networked systems is a multi-faceted challenge for many natural and technological fields, from cardiac and neuronal tissue pacemakers to power grids. In the latter case, the ongoing transition to distributed…

适应与自组织系统 · 物理学 2018-11-29 Frank Hellmann , Paul Schultz , Patrycja Jaros , Roman Levchenko , Tomasz Kapitaniak , Jürgen Kurths , Yuri Maistrenko

Signed networks with positive and negative interaction are widely observed in the real systems. The negative links would induce frustration, then affect global properties of the system. Based on previous studies, frustration of signed…

统计力学 · 物理学 2018-10-25 Jiayu Cao , Ying Fan , Zengru Di
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