activity
19992026
most citedMultifractality in Human Heartbeat Dynamics

1.5k citations · 2.8k across the 38 of their papers we have counts for

collaborators

38 papers

nlin.AO2026

Cluster dynamics in a two-group Stuart-Landau model analyzed by the second-order phase reduction

Yernur Baibolatov, Oleh E. Omel'chenko, Michael Rosenblum

We analyze cluster states in an ensemble of Stuart-Landau oscillators with two subpopulations of different frequencies. Our main goal is to compare the descriptions of the system's…

q-bio.NC2025

Inferring collective synchrony observing spiking of one or several neurons

Arkady Pikovsky, Michael Rosenblum

We tackle a quantification of synchrony in a large ensemble of interacting neurons from the observation of spiking events. In a simulation study, we efficiently infer the synchrony…

nlin.CD2024

A unified quantification of synchrony in globally coupled populations with the Wiener order parameter

Arkady Pikovsky, Michael Rosenblum

We tackle the quantification of synchrony in globally coupled populations. Furthermore, we treat the problem of incomplete observations when the population mean field is unavailabl…

nlin.AO2024★ 1 cited

Phase reduction explains chimera shape: when multi-body interaction matters

Erik T. K. Mau, Oleh E. Omel'chenko, Michael Rosenblum

We present an extension of the Kuramoto-Sakaguchi model for networks, deriving the second-order phase approximation for a paradigmatic model of oscillatory networks - an ensemble o…

nlin.CD2023★ 8 cited

High-order phase reduction for coupled 2D oscillators

Erik T. K. Mau, Michael Rosenblum, Arkady Pikovsky

Phase reduction is a general approach to describe coupled oscillatory units in terms of their phases, assuming that the amplitudes are enslaved. For such a reduction, the coupling…

nlin.AO2022★ 7 cited

Inferring oscillator's phase and amplitude response from a scalar signal exploiting test stimulation

Rok Cestnik, Erik T. K. Mau, Michael Rosenblum

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-sustaine…

nlin.CD2021★ 3 cited

Optimizing charge-balanced pulse stimulation for desynchronization

Erik T. K. Mau, Michael Rosenblum

Collective synchronization in a large population of self-sustained units appears both in natural and engineered systems. Sometimes this effect is in demand, while in some cases, it…

nlin.CD2021

Two Mechanisms of Remote Synchronization in a Chain of Stuart-Landau Oscillators

Mohit Kumar, Michael Rosenblum

Remote synchronization implies that oscillators interacting not directly but via an additional unit (hub) adjust their frequencies and exhibit frequency locking while the hub remai…

q-bio.NC2021

Real-time estimation of phase and amplitude with application to neural data

Michael Rosenblum, Arkady Pikovsky, Andrea A. Kühn +1

Computation of the instantaneous phase and amplitude via the Hilbert Transform is a powerful tool of data analysis. This approach finds many applications in various science and eng…

nlin.AO2020★ 2 cited

High-Order Phase Reduction for Coupled Oscillators

Erik Genge, Erik Teichmann, Michael Rosenblum +1

We explore the phase reduction in networks of coupled oscillators in the higher orders of the coupling parameter. For coupled Stuart-Landau oscillators, where the phase can be intr…

nlin.CD2020★ 15 cited

Controlling collective synchrony in oscillatory ensembles by precisely timed pulses

Michael Rosenblum

We present an efficient technique for control of synchrony in a globally coupled ensemble by pulsatile action. We assume that we can observe the collective oscillation and can stim…

q-bio.NC2020★ 15 cited

Reinforcement Learning Framework for Deep Brain Stimulation Study

Dmitrii Krylov, Remi Tachet, Romain Laroche +2

Malfunctioning neurons in the brain sometimes operate synchronously, reportedly causing many neurological diseases, e.g. Parkinson's. Suppression and control of this collective syn…

q-bio.NC2019★ 31 cited

Reinforcement learning for suppression of collective activity in oscillatory ensembles

Dmitriy Krylov, Dmitry V. Dylov, Michael Rosenblum

We present a use of modern data-based machine learning approaches to suppress self-sustained collective oscillations typically signaled by ensembles of degenerative neurons in the…

nlin.CD2019★ 36 cited

Solitary States and Partial Synchrony in Oscillatory Ensembles with Attractive and Repulsive Interactions

Erik Teichmann, Michael Rosenblum

We numerically and analytically analyze transitions between different synchronous states in a network of globally coupled phase oscillators with attractive and repulsive interactio…

physics.med-ph2019★ 1 cited

Dynamical disentanglement in an analysis of oscillatory systems: an application to respiratory sinus arrhythmia

M. Rosenblum, M. Frühwirth, M. Moser +1

We develop a technique for the multivariate data analysis of perturbed self-sustained oscillators. The approach is based on the reconstruction of the phase dynamics model from obse…

physics.comp-ph2019

Nonlinear phase coupling functions: a numerical study

M. Rosenblum, A. Pikovsky

Phase reduction is a general tool widely used to describe forced and interacting self-sustained oscillators. Here we explore the phase coupling functions beyond the usual first-ord…

physics.comp-ph2018★ 32 cited

Numerical phase reduction beyond the first order approximation

Michael Rosenblum, 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 pe…

nlin.AO2018★ 24 cited

Inferring the phase response curve from observation of a continuously perturbed oscillator

Rok Cestnik, Michael Rosenblum

Phase response curves are important for analysis and modeling of oscillatory dynamics in various applications, particularly in neuroscience. Standard experimental technique for det…

physics.med-ph2018★ 23 cited

Disentangling Respiratory Sinus Arrhythmia in Heart Rate Variability Records

Çağdaş Topçu, Matthias Frühwirth, Maximilian Moser +2

Different measures of heart rate variability and particularly of respiratory sinus arrhythmia are widely used in research and clinical applications. Inspired by the ideas from the…

cond-mat.stat-mech2017★ 4 cited

Synchronization in Kuramoto-Sakaguchi ensembles with competing influence of common noise and global coupling

D. S. Goldobin, A. V. Dolmatova, M. Rosenblum +1

We study the effects of synchronization and desynchronization in ensembles of phase oscillators with the global Kuramoto-Sakaguchi coupling under common noise driving. Since the me…

nlin.AO2017★ 38 cited

Reconstructing networks of pulse-coupled oscillators from spike trains

Rok Cestnik, Michael Rosenblum

We present an approach for reconstructing networks of pulse-coupled neuron-like oscillators from passive observation of pulse trains of all nodes. It is assumed that units are desc…

nlin.CD2017★ 23 cited

Two types of quasiperiodic partial synchrony in oscillator ensembles

Michael Rosenblum, Arkady Pikovsky

We analyze quasiperiodic partially synchronous states in an ensemble of Stuart-Landau oscillators with global nonlinear coupling. We reveal two types of such dynamics: in the first…

nlin.AO2016★ 28 cited

A minimal model of partial synchrony

Pau Clusella Cobero, Antonio Politi, Michael Rosenblum

We show that self-consistent partial synchrony in globally coupled oscillatory ensembles is a general phenomenon. We analyze in detail appearance and stability properties of this s…

nlin.AO2016★ 43 cited

Interplay of coupling and common noise at the transition to synchrony in oscillator populations

Anastasiya V. Pimenova, Denis S. Goldobin, Michael Rosenblum +1

We consider a population of globally coupled oscillators driven by common noise. By applying the Ott-Antonsen ansatz and by averaging over the fast oscillations, we obtain analytic…