Sound localization with spiking neural networks (2009)
Goodman, Dan, Pressnitzer, Daniel, Brette, Romain
No abstract available.
Spiking dynamics of bidimensional integrate-and-fire neurons (2008)
Touboul, Jonathan, Brette, Romain
The class of non-linear integrate and fire neuron models introduced in the previous chapter, containing such models as the Izhikevich and the Brette-Gerstner ones, are hybrid dynamical systems...
Spiking dynamics of bidimensional integrate-and-fire neurons (2008)
Touboul, Jonathan, Brette, Romain
The class of non-linear integrate and fire neuron models introduced in the previous chapter, containing such models as the Izhikevich and the Brette-Gerstner ones, are hybrid dynamical systems...
Romain Brette, Emmanuel Guigon
The responses of neurons to time-varying injected currents are reproducible on a trial-by-trial basis in vitro, but when a constant current is injected, small variances in interspike intervals across...
Romain Brette, Wulfram Gerstner
exponential integrate-and-fire model as an effective description of neuronal activity
Brian: a simulator for spiking neural networks in Python (2008)
No abstract available.
The Spike-and-reset dynamics for non-linear integrate-and-fire neuron models (2008)
Touboul, Jonathan, Brette, Romain
Non-linear integrate and fire neuron models introduced in \cite{touboul08}, such as Izhikevich and Brette-Gerstner neuron models, are hybrid dynamical systems, defined both by a continuous dynamics,...
The Spike-and-reset dynamics for non-linear integrate-and-fire neuron models (2008)
Touboul, Jonathan, Brette, Romain
Non-linear integrate and fire neuron models introduced in \cite{touboul08}, such as Izhikevich and Brette-Gerstner neuron models, are hybrid dynamical systems, defined both by a continuous dynamics,...
Romain Brette, Michelle Rudolph, Ted Carnevale, Michael Hines, David Beeman, James M. Bower, ...
Abstract We review different aspects of the simulation of spiking neural networks. We start by reviewing the different types of simulation strategies and algorithms that are currently implemented. We...
Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces (2008)
Badel, Laurent, Lefort, Sandrine, Brette, Romain, Petersen, Carl C. H., Gerstner, Wulfram, Richardson, Magnus J E
Neuronal response properties are typically probed by intracellular measurements of current-voltage (I-V) relationships during application of current or voltage steps. Here we demonstrate the...
Dynamics and bifurcations of the adaptive exponential integrate-and-fire model (2008)
Touboul, Jonathan, Brette, Romain
Recently, several two-dimensional spiking neuron models have been introduced, with the aim of reproducing the diversity of electrophysiological features displayed by real neurons while keeping a...
Dynamics and bifurcations of the adaptive exponential integrate-and-fire model (2008)
Touboul, Jonathan, Brette, Romain
Recently, several two-dimensional spiking neuron models have been introduced, with the aim of reproducing the diversity of electrophysiological features displayed by real neurons while keeping a...
Spiking dynamics of bidimensional integrate-and-fire neurons (2008)
Touboul, Jonathan, Brette, Romain
Spiking neuron models are hybrid dynamical systems combining differential equations and discrete resets, which generate complex dynamics. Several two-dimensional spiking models have been recently...
Spiking dynamics of bidimensional integrate-and-fire neurons (2008)
Touboul, Jonathan, Brette, Romain
Spiking neuron models are hybrid dynamical systems combining differential equations and discrete resets, which generate complex dynamics. Several two-dimensional spiking models have been recently...
Generation of correlated spike trains (2008)
1 Neuronal spike trains display correlations at diverse time scales throughout the nervous system. The functional significance of these correlations is largely unknown, and computational...
Dynamic i-v curves are reliable predictors of naturalistic pyramidal-neuron voltage traces (2008)
Laurent Badel, Rine Lefort, Romain Brette, Wulfram Gerstner
Running head: Dynamic I-V curves of layer-5 pyramidal cells Contact information: Magnus J.E. Richardson
A dynamical system analysis of the adaptive spike threshold (2007)
Platkiewicz, Jonathan, Brette, Romain
No abstract available.
Piwkowska, Zuzanna, Pospischil, Martin, Brette, Romain, Sliwa, Julia, Rudolph-Lilith, Michelle, Bal, Thierry, ...
Cortical neurons are subject to sustained and irregular synaptic activity which causes important fluctuations of the membrane potential (Vm). We review here different methods to characterize this...
Dynamic I-V Curves Are Reliable Predictors of Naturalistic Pyramidal-Neuron Voltage Traces (2007)
Laurent Badel, Rine Lefort, Romain Brette, Wulfram Gerstner
MJ. Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces. J Neurophysiol 99: 656–666, 2008. First published December 5, 2007; doi:10.1152/jn.01107.2007....
The Cauchy Problem for One-Dimensional Spiking Neuron Models (2007)
Romain Brette, Equipe Odyssée (inria/ens/enpc
I consider spiking neuron models defined by a one-dimensional differential equation and a reset — i.e., neuron models of the integrateand-fire type. I address the question of the existence and...
Simulation of networks of spiking neurons: A review of tools and strategies (2007)
Romain Brette, Michelle Rudolph, Ted Carnevale, Michael Hines, David Beeman, James M. Bower, ...
We review different aspects of the simulation of spiking neural networks. We start by reviewing the different types of simulation strategies and algorithms that are currently implemented. We next...
Exact simulation of integrate-and-fire models with synaptic conductances (2006)
Romain Brette, Equipe Odyssée, Ecole Normale Supérieure
Computational neuroscience relies heavily on the simulation of large networks of neuron models. There are essentially two simulation strategies: 1) using an approximation method (e.g. Runge-Kutta)...
Exact simulation of integrate-and-fire models with synaptic conductances (2006)
exponential currents
Romain Brette, Wulfram Gerstner
model as an effective description of neuronal activity.
Modèles Impulsionnels de Réseaux de Neurones Biologiques (2004)
Les neurosciences computationnelles sont traditionnellement dominées par la conception selon laquelle les neurones codent l'information à travers leur fréquence de décharge. Récemment, les...
Event-Driven Simulation of Integrate-and-Fire Neurons with Exponential Synaptic Conductances (2004)
Romain Brette, Inserm U, Marie Curie
It has become widely accepted that in neurons, spike timing is important.
Modèles Impulsionnels de Réseaux de Neurones Biologiques (2003)
Les neurosciences computationnelles sont traditionnellement dominées par la conception selon laquelle les neurones codent l'information à travers leur fréquence de décharge. Récemment, les...
Modèles Impulsionnels de Réseaux de Neurones Biologiques (2003)
Les neurosciences computationnelles sont traditionnellement dominées par la conception selon laquelle les neurones codent l'information à travers leur fréquence de décharge. Récemment, les...
Modèles Impulsionnels de Réseaux de Neurones Biologiques (2003)
Les neurosciences computationnelles sont traditionnellement dominées par la conception selon laquelle les neurones codent l'information à travers leur fréquence de décharge. Récemment, les...
Modèles Impulsionnels de Réseaux de Neurones Biologiques (2003)
Les neurosciences computationnelles sont traditionnellement dominées par la conception selon laquelle les neurones codent l'information à travers leur fréquence de décharge. Récemment, les...
Modèles Impulsionnels de Réseaux de Neurones Biologiques (2003)
Les neurosciences computationnelles sont traditionnellement dominées par la conception selon laquelle les neurones codent l'information à travers leur fréquence de décharge. Récemment, les...
Modèles Impulsionnels de Réseaux de Neurones Biologiques (2003)
Les neurosciences computationnelles sont traditionnellement dominées par la conception selon laquelle les neurones codent l'information à travers leur fréquence de décharge. Récemment, les...
Reliability of Spike Timing Is a General Property of Spiking Model Neurons (2002)
Romain Brette, Emmanuel Guigon
this article, we show that for a general class of spiking neuron models, which includes, in particular, the leaky integrate-and-#re model (Lapicque, 1907; Knight, 1972) as well as nonlinear spiking...
Brian: A Simulator for Spiking Neural Networks in Python
“Brian” is a new simulator for spiking neural networks, written in Python (http://brian. di.ens.fr). It is an intuitive and highly flexible tool for rapidly developing new models, especially...
The Cauchy problem for one-dimensional spiking neuron models
I consider spiking neuron models defined by a one-dimensional differential equation and a reset—i.e., neuron models of the integrate-and-fire type. I address the question of the existence and...