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相关论文: The Winfree model with non-infinitesimal phase-res…

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In a recent paper [Chaos 30, 073139 (2020)] we analyzed an extension of the Winfree model with nonlinear interactions. The nonlinear coupling function Q was mistakenly identified with the non-infinitesimal phase-response curve (PRC). Here,…

适应与自组织系统 · 物理学 2021-01-13 Diego Pazó , Rafael Gallego

We study an extension of the Winfree model of coupled phase oscillators in which both natural frequencies and phase-response curves (PRCs) are heterogeneous. In the first part of the paper we resort to averaging and derive an approximate…

适应与自组织系统 · 物理学 2019-03-27 Diego Pazó , Ernest Montbrió , Rafael Gallego

The emergence of collective synchronization was reproduced long ago by Winfree in a classical model consisting of an ensemble of pulse-coupled phase oscillators. By means of the Ott-Antonsen ansatz, we derive an exact low-dimensional…

适应与自组织系统 · 物理学 2017-10-25 Rafael Gallego , Ernest Montbrió , Diego Pazó

The asymptotic phase $\theta$ of an initial point $x$ in the stable manifold of a limit cycle identifies the phase of the point on the limit cycle to which the flow $\phi_t(x)$ converges as $t\to\infty$. The infinitesimal phase response…

动力系统 · 数学 2018-04-13 Youngmin Park , Kendrick M. Shaw , Hillel J. Chiel , Peter J. Thomas

Many real oscillators are coupled to other oscillators and the coupling can affect the response of the oscillators to stimuli. We investigate phase response curves (PRCs) of coupled oscillators. The PRCs for two weakly coupled phase-locked…

神经元与认知 · 定量生物学 2009-11-13 Tae-Wook Ko , Bard Ermentrout

We develop a linear response theory by computing the asymptotic value of the order parameter from the linearized equation of continuity around the nonsynchronized reference state using the Laplace transform in time. The proposed theory is…

适应与自组织系统 · 物理学 2020-01-09 Yu Terada , Yoshiyuki Y Yamaguchi

The Phase Response Curve (PRC) is a tool used in neuroscience that measures the phase shift experienced by an oscillator due to a perturbation applied at different phases of the limit cycle. In this paper we present a new approach to PRCs…

动力系统 · 数学 2019-07-24 Alberto Pérez-Cervera , Tere M. Seara , Gemma Huguet

Phase response curve (PRC) is an extremely useful tool for studying the response of oscillatory systems, e.g. neurons, to sparse or weak stimulation. Here we develop a framework for studying the response to a series of pulses which are…

数据分析、统计与概率 · 物理学 2017-09-13 Vladimir Klinshov , Serhiy Yanchuk , Artur Stephan , Vladimir Nekorkin

Phase synchronization between collective oscillations exhibited by two weakly interacting groups of non-identical phase oscillators with internal and external global sinusoidal coupling of the groups is analyzed theoretically. Coupled…

适应与自组织系统 · 物理学 2010-11-12 Yoji Kawamura , Hiroya Nakao , Kensuke Arai , Hiroshi Kori , Yoshiki Kuramoto

Synchronized neural spiking is associated with many cognitive functions and thus, merits study for its own sake. The analysis of neural synchronization naturally leads to the study of repetitive spiking and consequently to the analysis of…

神经元与认知 · 定量生物学 2017-07-19 Youngmin Park , Stewart Heitmann , G. Bard Ermentrout

Phase resetting curves characterize the way a system with a collective periodic behavior responds to perturbations. We consider globally coupled ensembles of Sakaguchi-Kuramoto oscillators, and use the Ott-Antonsen theory of ensemble…

统计力学 · 物理学 2015-05-19 Zoran Levnajić , Arkady Pikovsky

For a system of globally pulse-coupled phase-oscillators, we derive conditions for stability of the completely synchronous state and all possible two-cluster states and explain how the different states are naturally connected via…

适应与自组织系统 · 物理学 2015-05-27 Leonhard Lücken , Serhiy Yanchuk

The "Phase Response Curve" (PRC) is a common tool used to analyze phase resetting in the natural sciences. We make the observation that the PRC with respect to a coordinate $y\in\mathbb{R}$ actually depends on the full choice of coordinates…

定量方法 · 定量生物学 2021-11-15 Simon Wilshin , Matthew D. Kvalheim , Shai Revzen

We study the collective dynamics of identical phase oscillators on globally coupled networks whose interactions are asymmetric and mediated by positive and negative couplings. We split the set of oscillators into two interconnected…

适应与自组织系统 · 物理学 2021-04-21 Thomas Peron

In their seminal paper [Chaos 18, 037113 (2008)], E. Ott and T. M. Antonsen showed that large groups of phase oscillators driven by a certain type of common force display low dimensional long-term dynamics, which is described by a small…

适应与自组织系统 · 物理学 2023-06-21 Oleh Omel'chenko

The phase sensitivity curve or phase response curve (PRC) quantifies the oscillator's reaction to stimulation at a specific phase and is a primary characteristic of a self-sustained oscillatory unit. Knowledge of this curve yields a phase…

适应与自组织系统 · 物理学 2022-12-08 Rok Cestnik , Erik T. K. Mau , Michael Rosenblum

Low-dimensional reduction theories, such as the Ott-Antonsen ansatz, have played a crucial role in the study of populations of globally coupled phase oscillators. However, most of these theories are applicable only to models in which the…

适应与自组织系统 · 物理学 2026-04-17 Kai Tokunaga

We consider general properties of groups of interacting oscillators, for which the natural frequencies are not in resonance. Such groups interact via non-oscillating collective variables like the amplitudes of the order parameters defined…

适应与自组织系统 · 物理学 2015-05-27 Maxim Komarov , Arkady Pikovsky

The phase-resetting curve (PRC) describes the response of a neural oscillator to small perturbations in membrane potential. Its usefulness for predicting the dynamics of weakly coupled deterministic networks has been well characterized.…

动力系统 · 数学 2015-05-13 Aushra Abouzeid , Bard Ermentrout

We consider networks of weakly pulse-coupled identical oscillators. In an effort to resolve a long-standing problem, we develop an analytic condition on the infinitesimal phase response curve (iPRC) for synchronized dynamic behaviour,…

适应与自组织系统 · 物理学 2014-09-12 Dirk Aeyels , Lode Wylleman
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