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相关论文: Reconstruction of phase-amplitude dynamics from el…

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We generalize our recent approach to reconstruction of phase dynamics of coupled oscillators from data [B. Kralemann et al., Phys. Rev. E, 77, 066205 (2008)] to cover the case of small networks of coupled periodic units. Starting from the…

混沌动力学 · 物理学 2015-05-27 Björn Kralemann , Arkady Pikovsky , Michael Rosenblum

A foremost challenge in modern network science is the inverse problem of reconstruction (inference) of coupling equations and network topology from the measurements of the network dynamics. Of particular interest are the methods that can…

混沌动力学 · 物理学 2019-10-31 Isao T. Tokuda , Zoran Levnajic , Kazuyoshi Ishimura

We consider networks of coupled phase oscillators of different complexity: Kuramoto-Daido-type networks, generalized Winfree networks, and hypernetworks with triple interactions. For these setups an inverse problem of reconstruction of the…

适应与自组织系统 · 物理学 2018-01-17 A. Pikovsky

We propose a novel method to reconstruct phase dynamics equations from responses in macroscopic variables to weak inputs. Developing linear and nonlinear response theories in coupled phase-oscillators, we derive formulae which connect the…

适应与自组织系统 · 物理学 2023-01-06 Yoshiyuki Y. Yamaguchi , Yu Terada

Analyzing synchronized nonlinear oscillators is one of the most important and attractive topics in nonlinear science. By understanding the interactions between the oscillators, we can figure out the synchronization process. A promising…

适应与自组织系统 · 物理学 2025-02-05 Yuka Hashimoto , Masahiro Ikeda , Hiroya Nakao , Yoshinobu Kawahara

Synchronization is an important dynamical phenomenon in coupled nonlinear systems, which has been studied extensively in recent years. However, analysis focused on individual orbits seems hard to extend to complex systems while a global…

混沌动力学 · 物理学 2021-01-04 Jing Hu , Yueheng Lan

We propose a novel method of reconstructing the topology and interaction functions for a general oscillator network. An ensemble of initial phases and the corresponding instantaneous frequencies is constructed by repeating random…

混沌动力学 · 物理学 2015-05-20 Zoran Levnajić , Arkady Pikovsky

We develop a numerical approach to reconstruct the phase dynamics of driven or coupled self-sustained oscillators. Employing a simple algorithm for computation of the phase of a perturbed system, we construct numerically the equation for…

计算物理 · 物理学 2019-02-20 Michael Rosenblum , Arkady Pikovsky

Asymptotic phase and amplitudes are fundamental concepts in the analysis of limit-cycle oscillators. In this paper, we briefly review the definition of these quantities, particularly a generalization to stochastic oscillatory systems from…

适应与自组织系统 · 物理学 2025-01-17 Shohei Takata , Yuzuru Kato , Hiroya Nakao

Recent years have witnessed increasing interest to phase-amplitude reduction of limit-cycle dynamics. Adding an amplitude coordinate to the phase coordinate allows to take into account the dynamics transversal to the limit cycle and thereby…

动力系统 · 数学 2018-11-22 A. Mauroy , I. Mezic

We present a novel approach for recovery of the directional connectivity of a small oscillator network by means of the phase dynamics reconstruction from multivariate time series data. The main idea is to use a triplet analysis instead of…

混沌动力学 · 物理学 2014-06-16 Björn Kralemann , Arkady Pikovsky , Michael Rosenblum

Models of coupled oscillators are used to describe a wide variety of phenomena in neuroimaging. These models typically rest on the premise that oscillator dynamics do not evolve beyond their respective limit cycles, and hence that…

定量方法 · 定量生物学 2019-09-19 Erik D. Fagerholm , Rosalyn J. Moran , Ines R. Violante , Robert Leech , Karl J. Friston

We investigated the locking behaviors of coupled limit-cycle oscillators with phase and amplitude dynamics. We focused on how the dynamics are affected by inhomogeneous coupling strength and by angular and radial shifts in the coupling…

动力系统 · 数学 2021-01-19 Jae Hyung Woo , Christopher J. Honey , Joon-Young Moon

We present a phase-amplitude reduction framework for analyzing collective oscillations in networked dynamical systems. The framework, which builds on the phase reduction method, takes into account not only the collective dynamics on the…

适应与自组织系统 · 物理学 2023-10-12 Petar Mircheski , Jinjie Zhu , Hiroya Nakao

Phase-amplitude coupling (PAC) describes the phenomenon where the power of a high-frequency oscillation evolves with the phase of a low-frequency one. We propose a model that explains the emergence of PAC in two commonly-accepted…

神经元与认知 · 定量生物学 2021-06-30 Yuzhen Qin , Tommaso Menara , Danielle S. Bassett , Fabio Pasqualetti

Many real-world systems are often regarded as weakly coupled limit-cycle oscillators, in which each oscillator corresponds to a dynamical system with many degrees of freedom that have collective oscillations. One of the most practical…

适应与自组织系统 · 物理学 2022-11-21 Takahiro Arai , Yoji Kawamura , Toshio Aoyagi

Coupled oscillators are prevalent throughout the physical world. Dynamical system formulations of weakly coupled oscillator systems have proven effective at capturing the properties of real-world systems. However, these formulations usually…

适应与自组织系统 · 物理学 2009-06-23 Charles F. Cadieu , Kilian Koepsell

Rhythmic activity is ubiquitous in biological systems from the cellular to organism level. Reconstructing the instantaneous phase is the first step in analyzing the essential mechanism leading to a synchronization state from the observed…

适应与自组织系统 · 物理学 2022-09-02 Akari Matsuki , Hiroshi Kori , Ryota Kobayashi

We propose a network of oscillators to retrieve given patterns in which the oscillators keep a fixed phase relationship with one another. In this description, the phase and the amplitude of the oscillators can be regarded as the timing and…

adap-org · 物理学 2009-10-22 Toshio Aoyagi

This paper introduces a novel technique for reconstructing the phase of modified spectrograms of audio signals. From the analysis of mixtures of sinusoids we obtain relationships between phases of successive time frames in the…

声音 · 计算机科学 2016-05-25 Paul Magron , Roland Badeau , Bertrand David
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