activity
20042022
most citedSynchronization of two interacting populations of oscillators

231 citations · 909 across the 14 of their papers we have counts for

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8 papers · 1 filter

nlin.AO2021★ 24 cited

Kuramoto model for populations of quadratic integrate-and-fire neurons with chemical and electrical coupling

Pau Clusella, Bastian Pietras, Ernest Montbrió

We derive the Kuramoto model (KM) corresponding to a population of weakly coupled, nearly identical quadratic integrate-and-fire (QIF) neurons with both electrical and chemical cou…

nlin.AO2018★ 56 cited

Kuramoto model for excitation-inhibition-based oscillations

Ernest Montbrió, Diego Pazó

The Kuramoto model (KM) is a theoretical paradigm for investigating the emergence of rhythmic activity in large populations of oscillators. A remarkable example of rhythmogenesis i…

nlin.AO2017★ 32 cited

Synchronization scenarios in the Winfree model of coupled oscillators

Rafael Gallego, Ernest Montbrió, Diego Pazó

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 Ot…

nlin.AO2011★ 55 cited

Shear diversity prevents collective synchronization

Ernest Montbrió, Diego Pazó

Large ensembles of heterogeneous oscillators often exhibit collective synchronization as a result of mutual interactions. If the oscillators have distributed natural frequencies an…

nlin.AO2009★ 85 cited

Existence of hysteresis in the Kuramoto model with bimodal frequency distributions

Diego Pazó, Ernest Montbrió

We investigate the transition to synchronization in the Kuramoto model with bimodal distributions of the natural frequencies. Previous studies have concluded that the model exhibit…

nlin.AO2006★ 59 cited

Time delay in the Kuramoto model with bimodal frequency distribution

Ernest Montbrio, Diego Pazo, Juergen Schmidt

We investigate the effects of a time-delayed all-to-all coupling scheme in a large population of oscillators with natural frequencies following a bimodal distribution. The regions…