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20042025
most citedThe type II phase resetting curve is optimal for stochastic synchrony

77 citations · 436 across the 16 of their papers we have counts for

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6 papers · 1 filter

math.DS2025★ 1 cited

XPPLORE: Import, visualize, and analyze XPPAUT data in MATLAB

Matteo Martin, Anna Kishida Thomas, George Bard Ermentrout

The analysis of ordinary differential equation (ODE) dynamical systems, particularly in applied disciplines such as mathematical biology and neuroscience, often requires flexible c…

math.DS2019★ 3 cited

Synchronization of Oscillators via Active Media

Derek Orr, Bard Ermentrout

In this paper, we study pairs of oscillators that are indirectly coupled via active (excitable) cells. We introduce a scalar phase model for coupled oscillators and excitable cells…

math.DS2016★ 40 cited

Weakly Coupled Oscillators in a Slowly Varying World

Youngmin Park, Bard Ermentrout

We extend the theory of weakly coupled oscillators to incorporate slowly varying inputs and parameters. We employ a combination of regular perturbation and an adiabatic approximati…

math.DS2015★ 20 cited

Phase-locked Patterns of the Kuramoto Model on 3-Regular Graphs

Lee DeVille, Bard Ermentrout

We consider the existence of non-synchronized fixed points to the Kuramoto model defined on sparse networks: specifically, networks where each vertex has degree exactly three. We s…

math.DS2011★ 21 cited

Correlation transfer in stochastically driven oscillators over long and short time scales

Aushra Abouzeid, Bard Ermentrout

In the absence of synaptic coupling, two or more neural oscillators may become synchronized by virtue of the statistical correlations in their noisy input streams. Recent work has…

math.DS2009★ 77 cited

The type II phase resetting curve is optimal for stochastic synchrony

Aushra Abouzeid, Bard Ermentrout

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 cou…