121 citations · 324 across the 11 of their papers we have counts for
12 papers
Cross-scale excitability in networks of synaptically-coupled quadratic integrate-and-fire neurons
Daniele Avitabile, Mathieu Desroches, G. Bard Ermentrout
From the action potentials of neurons and cardiac cells to the amplification of calcium signals in oocytes, excitability is a hallmark of many biological signalling processes. In r…
BioSimulators: a central registry of simulation engines and services for recommending specific tools
Bilal Shaikh, Lucian P. Smith, Dan Vasilescu +68
Computational models have great potential to accelerate bioscience, bioengineering, and medicine. However, it remains challenging to reproduce and reuse simulations, in part, becau…
Noise-induced synchronization and anti-resonance in excitable systems; Implications for information processing in Parkinson's Disease and Deep Brain Stimulation
Jonathan D. Touboul, Charlotte Piette, Laurent Venance +1
We study the statistical physics of a surprising phenomenon arising in large networks of excitable elements in response to noise: while at low noise, solutions remain in the vicini…
When is sync globally stable in sparse networks of identical Kuramoto oscillators?
Yury Sokolov, G. Bard Ermentrout
Synchronization in systems of coupled Kuramoto oscillators may depend on their natural frequencies, coupling, and underlying networks. In this paper, we reduce the alternatives to…
A multiple timescales approach to bridging spiking- and population-level dynamics
Youngmin Park, G. Bard Ermentrout
A rigorous bridge between spiking-level and macroscopic quantities is an on-going and well-developed story for asynchronously firing neurons, but focus has shifted to include neura…
The Utility of Phase Models in Studying Neural Synchronization
Youngmin Park, Stewart Heitmann, G. Bard Ermentrout
Synchronized neural spiking is associated with many cognitive functions and thus, merits study for its own sake. The analysis of neural synchronization naturally leads to the study…