User profiles for Romain Brette

Romain Brette

Research Director in Theoretical Neuroscience
Verified email at inserm.fr
Cited by 8470

[HTML][HTML] Philosophy of the spike: rate-based vs. spike-based theories of the brain

R Brette - Frontiers in systems neuroscience, 2015 - frontiersin.org
Does the brain use a firing rate code or a spike timing code? Considering this controversial
question from an epistemological perspective, I argue that progress has been hampered by …

Is coding a relevant metaphor for the brain?

R Brette - Behavioral and Brain Sciences, 2019 - cambridge.org
“Neural coding” is a popular metaphor in neuroscience, where objective properties of the
world are communicated to the brain in the form of spikes. Here I argue that this metaphor is …

[HTML][HTML] Computing with neural synchrony

R Brette - PLoS computational biology, 2012 - journals.plos.org
Neurons communicate primarily with spikes, but most theories of neural computation are
based on firing rates. Yet, many experimental observations suggest that the temporal …

Brian 2, an intuitive and efficient neural simulator

M Stimberg, R Brette, DFM Goodman - elife, 2019 - elifesciences.org
10.7554/eLife.47314.001 Brian 2 allows scientists to simply and efficiently simulate spiking
neural network models. These models can feature novel dynamical equations, their …

[HTML][HTML] Brains as computers: metaphor, analogy, theory or fact?

R Brette - Frontiers in Ecology and Evolution, 2022 - frontiersin.org
Whether electronic, analog or quantum, a computer is a programmable machine. Wilder
Penfield held that the brain is literally a computer, because he was a dualist: the mind programs …

[HTML][HTML] Spike-Threshold Adaptation Predicted by Membrane Potential Dynamics In Vivo

B Fontaine, JL Peņa, R Brette - PLoS computational biology, 2014 - journals.plos.org
Neurons encode information in sequences of spikes, which are triggered when their
membrane potential crosses a threshold. In vivo, the spiking threshold displays large variability …

[HTML][HTML] Fitting neuron models to spike trains

…, J Platkiewicz, AK Magnusson, R Brette - Frontiers in …, 2011 - frontiersin.org
Computational modeling is increasingly used to understand the function of neural circuits in
systems neuroscience. These studies require models of individual neurons with realistic …

Adaptive exponential integrate-and-fire model as an effective description of neuronal activity

R Brette, W Gerstner - Journal of neurophysiology, 2005 - journals.physiology.org
We introduce a two-dimensional integrate-and-fire model that combines an exponential
spike mechanism with an adaptation equation, based on recent theoretical findings. We …

Simulation of networks of spiking neurons: a review of tools and strategies

R Brette, M Rudolph, T Carnevale, M Hines… - Journal of computational …, 2007 - Springer
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. …

[HTML][HTML] Brian: a simulator for spiking neural networks in python

DFM Goodman, R Brette - Frontiers in neuroinformatics, 2008 - frontiersin.org
"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 …