Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons
type: Item
instance of: scholarly article
title: Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons
zbMATH Open document ID: 1402.92127
author: Yann Zerlaut
author: Sandrine Chemla
author: Frederic Chavane
author: Alain Destexhe
published in: Journal of Computational Neuroscience
publication date: 2018-12-04T00:00:00Z
Mathematics Subject Classification ID: 92C20
zbMATH DE Number: 6988204
zbMATH Keywords: recurrent network dynamics
zbMATH Keywords: mean-field description
zbMATH Keywords: AdEx model
zbMATH Keywords: voltage-sensitive dye imaging
describes a project that uses: Brian
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1101/168385
OpenAlex ID: W2739799877
cites work: Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons.
cites work: An Introduction to the Theory of Point Processes
cites work: A Master Equation Formalism for Macroscopic Modeling of Asynchronous Irregular Activity States
cites work: The High-Conductance State of Cortical Networks
cites work: Q5585825
cites work: Q5134738
DOI: 10.1101/168385
DOI: 10.1007/S10827-017-0668-2
Wikidata QID: Q47608643
description: scientific article; zbMATH DE number 6988204