Conductance / Lausanne / Wilrijk / Genoa / Langevin / Recherche Scientifique / be taken in deriving accurate Langevin-kind formulations / /
Company
Creative Commons / /
Country
Switzerland / Belgium / Italy / /
Currency
pence / / /
Facility
University of Antwerp / University of Sheffield / Laboratory of Neural Microcircuitry / Brain Mind Institute / University of Genoa / /
IndustryTerm
experimental protocol / by-product / parallel computing resources / large networks / mass-action law / /
NaturalFeature
United Kingdom Abstract Stochastic channel / /
Organization
University of Sheffield / Sheffield / Centre National / University of Antwerp / Laboratory of Neural Microcircuitry / Flanders Research Foundation / University of Genoa / Universite´ Paris Descartes / Department of Biomedical Sciences / Department of Computer Science / Brain Mind Institute / Biophysical and Electronic Engineering Department / Royal Society / /
Person
Lyle J. Graham / /
Position
Author / original author / Editor / /
ProgrammingLanguage
C++ / /
PublishedMedium
PLoS Computational Biology / the PLoS Computational Biology / /
Accurate and Fast Simulation of Channel Noise in Conductance-Based Model Neurons by Diffusion Approximation Daniele Linaro1, Marco Storace1, Michele Giugliano2,3,4* 1 Biophysical and Electronic Engineering Department, Un