activity
20052025
most citedA comparative study of different integrate-and-fire neurons: spontaneous activity, dynamical response, and stimulus-induced correlation

83 citations · 197 across the 11 of their papers we have counts for

collaborators

11 papers

hep-ph2025

Digit anomalies in the hadronic mass spectrum, classical and quantum information entropies, and the dynamical QCD scale

R. da Rocha, R. D. Vilela

Quantum Chromodynamics (QCD) has an emergent dynamical energy scale which sets the threshold between perturbative and nonperturbative regimes. This characteristic sca…

physics.flu-dyn2017★ 2 cited

A map for heavy inertial particles in fluid flows

Rafael Dias Vilela, Vitor M. de Oliveira

We introduce a map which reproduces qualitatively many fundamental properties of the dynamics of heavy particles in fluid flows. These include a uniform rate of decrease of volume…

q-bio.NC2015★ 16 cited

Colored noise and memory effects on formal spiking neuron models

L. A. da Silva, R. D. Vilela

Simplified neuronal models capture the essence of the electrical activity of a generic neuron, besides being more interesting from the computational point of view when compared to…

physics.flu-dyn2014★ 18 cited

Inertial particle trapping in an open vortical flow

Jean-Regis Angilella, Rafael D. Vilela, Adilson E. Motter

Recent numerical results on advection dynamics have shown that particles denser than the fluid can remain trapped indefinitely in a bounded region of an open fluid flow. Here, we i…

q-bio.NC2009

Are the input parameters of white-noise-driven integrate-and-fire neurons uniquely determined by rate and CV?

Rafael D. Vilela, Benjamin Lindner

Integrate-and-fire (IF) neurons have found widespread applications in computational neuroscience. Particularly important are stochastic versions of these models where the driving c…

q-bio.NC2009★ 83 cited

A comparative study of different integrate-and-fire neurons: spontaneous activity, dynamical response, and stimulus-induced correlation

Rafael D. Vilela, Benjamin Lindner

Stochastic integrate-and-fire (IF) neuron models have found widespread applications in computational neuroscience. Here we present results on the white-noise-driven perfect, leaky,…