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20082025
most citedExact Results for the Kuramoto Model with a Bimodal Frequency Distribution

337 citations · 385 across the 4 of their papers we have counts for

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8 papers · 1 filter

nlin.AO2025

Multiple Timescale Dynamics of Network Adaptation with Constraints

Erik Andreas Martens, Christian Bick

Adaptive network dynamical systems describe the co-evolution of dynamical quantities on the nodes as well as dynamics of the network connections themselves. For dense networks of m…

nlin.AO20215 cited

A Two-Frequency-Two-Coupling model of coupled oscillators

Hyunsuk Hong, Erik A. Martens

We considered the phase coherence dynamics in a Two-Frequency and Two-Coupling (TFTC) model of coupled oscillators, where coupling strength and natural oscillator frequencies for i…

nlin.AO2020

Birth and destruction of collective oscillations in a network of two populations of coupled type 1 neurons

Benjamin Jüttner, Christian Henriksen, Erik A. Martens

We study the macroscopic dynamics of large networks of excitable type 1 neurons composed of two populations interacting with disparate but symmetric intra- and inter-population cou…

nlin.AO201919 cited

Directed Flow of Information in Chimera States

Nicolás Deschle, Andreas Daffertshofer, Demian Battaglia +1

We investigated interactions within chimera states in a phase oscillator network with two coupled subpopulations. To quantify interactions within and between these subpopulations,…

nlin.AO2019

Understanding the dynamics of biological and neural oscillator networks through exact mean-field reductions: a review

Christian Bick, Marc Goodfellow, Carlo R. Laing +1

Many biological and neural systems can be seen as networks of interacting periodic processes. Importantly, their functionality depends on the emerging collective dynamics of the ne…

nlin.AO2018

First-order synchronization transition in a large population of strongly coupled relaxation oscillators

Dumitru Călugăru, Jan Frederik Totz, Erik A. Martens +1

Onset and loss of synchronization in coupled oscillators are of fundamental importance in understanding emergent behavior in natural and man-made systems, which range from neural n…