Romain Brette
Romain Brette
Research Director in Computational Neuroscience
Verified email at - Homepage
Cited by
Cited by
Adaptive exponential integrate-and-fire model as an effective description of neuronal activity
R Brette, W Gerstner
Journal of neurophysiology 94 (5), 3637-3642, 2005
Simulation of networks of spiking neurons: a review of tools and strategies
R Brette, M Rudolph, T Carnevale, M Hines, D Beeman, JM Bower, ...
Journal of computational neuroscience 23 (3), 349-398, 2007
Brian: a simulator for spiking neural networks in Python
D Goodman, R Brette
Frontiers in neuroinformatics 2, 2008
The brian simulator
DFM Goodman, R Brette
Frontiers in neuroscience 3, 26, 2009
Dynamic I-V Curves Are Reliable Predictors of Naturalistic Pyramidal-Neuron Voltage Traces
L Badel, S Lefort, R Brette, CCH Petersen, W Gerstner, MJE Richardson
Journal of Neurophysiology 99 (2), 656-666, 2008
A threshold equation for action potential initiation
J Platkiewicz, R Brette
PLoS Comput Biol 6 (7), e1000850, 2010
Philosophy of the spike: rate-based vs. spike-based theories of the brain
R Brette
Frontiers in systems neuroscience 9, 151, 2015
Equation-oriented specification of neural models for simulations
M Stimberg, DFM Goodman, V Benichoux, R Brette
Frontiers in neuroinformatics 8, 6, 2014
Dynamics and bifurcations of the adaptive exponential integrate-and-fire model
J Touboul, R Brette
Biological cybernetics 99 (4), 319-334, 2008
Computing with neural synchrony
R Brette
PLoS Comput Biol 8 (6), e1002561, 2012
Brian 2, an intuitive and efficient neural simulator
M Stimberg, R Brette, DFM Goodman
Elife 8, e47314, 2019
Handbook of neural activity measurement
R Brette, A Destexhe
Cambridge University Press, 2012
Impact of fast sodium channel inactivation on spike threshold dynamics and synaptic integration
J Platkiewicz, R Brette
PLoS Comput Biol 7 (5), e1001129, 2011
Fitting neuron models to spike trains
C Rossant, DFM Goodman, B Fontaine, J Platkiewicz, AK Magnusson, ...
Frontiers in neuroscience 5, 9, 2011
Spike-threshold adaptation predicted by membrane potential dynamics in vivo
B Fontaine, JL Peña, R Brette
PLoS Comput Biol 10 (4), e1003560, 2014
Automatic fitting of spiking neuron models to electrophysiological recordings
C Rossant, DFM Goodman, J Platkiewicz, R Brette
Frontiers in neuroinformatics 4, 2, 2010
Exact simulation of integrate-and-fire models with synaptic conductances
R Brette
Neural Computation 18 (8), 2004-2027, 2006
Reliability of spike timing is a general property of spiking model neurons
R Brette, E Guigon
Neural Computation 15 (2), 279-308, 2003
Generation of correlated spike trains
R Brette
Neural computation 21 (1), 188-215, 2009
High-resolution intracellular recordings using a real-time computational model of the electrode
R Brette, Z Piwkowska, C Monier, M Rudolph-Lilith, J Fournier, M Levy, ...
Neuron 59 (3), 379-391, 2008
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