Nicolas Brunel

According to our database, Nicolas Brunel authored at least 45 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Attractor neural networks with double well synapses.

Yu Feng, Nicolas Brunel

PLoS Comput. Biol., February, 2024

2023

Bayesian reconstruction of memories stored in neural networks from their connectivity.

Sebastian Goldt, Florent Krzakala, Lenka Zdeborová, Nicolas Brunel

PLoS Comput. Biol., January, 2023

2022

Non-monotonic effects of GABAergic synaptic inputs on neuronal firing.

Aghil Abed Zadeh, Brandon D. Turner, Nicole Calakos, Nicolas Brunel

PLoS Comput. Biol., 2022

2020

Response nonlinearities in networks of spiking neurons.

Alessandro Sanzeni, Mark H. Histed, Nicolas Brunel

PLoS Comput. Biol., 2020

2019

Unsupervised Learning of Persistent and Sequential Activity.

Ulises Pereira, Nicolas Brunel

Frontiers Comput. Neurosci., 2019

2016

Storing structured sparse memories in a multi-modular cortical network model.

Alexis M. Dubreuil, Nicolas Brunel

J. Comput. Neurosci., 2016

2015

Modulation of Network Excitability by Persistent Activity: How Working Memory Affects the Response to Incoming Stimuli.

Elisa M. Tartaglia, Nicolas Brunel, Gianluigi Mongillo

PLoS Comput. Biol., 2015

A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks.

Alireza Alemi, Carlo Baldassi, Nicolas Brunel, Riccardo Zecchina

PLoS Comput. Biol., 2015

2014

Population Density Models.

Nicolas Brunel, Vincent Hakim

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Fokker-Planck Equation.

Nicolas Brunel, Vincent Hakim

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Memory Maintenance in Synapses with Calcium-Based Plasticity in the Presence of Background Activity.

David Higgins, Michael Graupner, Nicolas Brunel

PLoS Comput. Biol., 2014

Memory Capacity of Networks with Stochastic Binary Synapses.

Alexis M. Dubreuil, Yali Amit, Nicolas Brunel

PLoS Comput. Biol., 2014

Erratum to: Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition.

Nicolas Brunel, Xiao-Jing Wang

J. Comput. Neurosci., 2014

Analytical approximations of the firing rate of an adaptive exponential integrate-and-fire neuron in the presence of synaptic noise.

Loreen Hertäg, Daniel Durstewitz, Nicolas Brunel

Frontiers Comput. Neurosci., 2014

2013

Optimal Properties of Analog Perceptrons with Excitatory Weights.

Claudia Clopath, Nicolas Brunel

PLoS Comput. Biol., 2013

2012

Storage of Correlated Patterns in Standard and Bistable Purkinje Cell Models.

Claudia Clopath, Jean-Pierre Nadal, Nicolas Brunel

PLoS Comput. Biol., 2012

2011

From Spiking Neuron Models to Linear-Nonlinear Models.

Srdjan Ostojic, Nicolas Brunel

PLoS Comput. Biol., 2011

Dynamics of Networks of Excitatory and Inhibitory Neurons in Response to Time-Dependent Inputs.

Erwan Ledoux, Nicolas Brunel

Frontiers Comput. Neurosci., 2011

2010

Modeling and Unsupervised Classification of Multivariate Hidden Markov Chains With Copulas.

Nicolas Brunel, Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski

IEEE Trans. Autom. Control., 2010

Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model.

Alberto Mazzoni, Kevin Whittingstall, Nicolas Brunel, Nikos K. Logothetis, Stefano Panzeri

NeuroImage, 2010

Mechanisms of induction and maintenance of spike-timing dependent plasticity in biophysical synapse models.

Michael Graupner, Nicolas Brunel

Frontiers Comput. Neurosci., 2010

Flow-Based Bayesian Estimation of Nonlinear Differential Equations for Modeling Biological Networks.

Nicolas Brunel, Florence d'Alché-Buc

Proceedings of the Pattern Recognition in Bioinformatics, 2010

2009

Neuronal Dynamics.

Nicolas Brunel, Vincent Hakim

Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Semantic Priming in a Cortical Network Model.

Nicolas Brunel, Frédéric Lavigne

J. Cogn. Neurosci., 2009

Synchronization properties of networks of electrically coupled neurons in the presence of noise and heterogeneities.

Srdjan Ostojic, Nicolas Brunel, Vincent Hakim

J. Comput. Neurosci., 2009

2008

Encoding of Naturalistic Stimuli by Local Field Potential Spectra in Networks of Excitatory and Inhibitory Neurons.

Alberto Mazzoni, Stefano Panzeri, Nikos K. Logothetis, Nicolas Brunel

PLoS Comput. Biol., 2008

2007

Efficient supervised learning in networks with binary synapses.

Carlo Baldassi, Alfredo Braunstein, Nicolas Brunel, Riccardo Zecchina

Proc. Natl. Acad. Sci. USA, 2007

STDP in a Bistable Synapse Model Based on CaMKII and Associated Signaling Pathways.

Michael Graupner, Nicolas Brunel

PLoS Comput. Biol., 2007

Irregular persistent activity induced by synaptic excitatory feedback.

Francesca Barbieri, Nicolas Brunel

Frontiers Comput. Neurosci., 2007

Estimating parameters and hidden variables in non-linear state-space models based on ODEs for biological networks inference.

Minh Quach, Nicolas Brunel, Florence d'Alché-Buc

Bioinform., 2007

2006

How Noise Affects the Synchronization Properties of Recurrent Networks of Inhibitory Neurons.

Nicolas Brunel, David Hansel

Neural Comput., 2006

2005

Unsupervised signal restoration using hidden Markov chains with copulas.

Nicolas Brunel, Wojciech Pieczynski

Signal Process., 2005

Dynamics of the Instantaneous Firing Rate in Response to Changes in Input Statistics.

Nicolas Fourcaud-Trocmé, Nicolas Brunel

J. Comput. Neurosci., 2005

A Continuous Attractor Network Model Without Recurrent Excitation: Maintenance and Integration in the Head Direction Cell System.

Christian Boucheny, Nicolas Brunel, Angelo Arleo

J. Comput. Neurosci., 2005

Copulas in Vectorial Hidden Markov Chains for Multicomponent Image Segmentation.

Nicolas Brunel, Wojciech Pieczynski, Stéphane Derrode

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2003

Firing Rate of the Noisy Quadratic Integrate-and-Fire Neuron.

Nicolas Brunel, Peter E. Latham

Neural Comput., 2003

2002

Dynamics of the Firing Probability of Noisy Integrate-and-Fire Neurons.

Nicolas Fourcaud, Nicolas Brunel

Neural Comput., 2002

2001

Effects of Neuromodulation in a Cortical Network Model of Object Working Memory Dominated by Recurrent Inhibition.

Nicolas Brunel, Xiao-Jing Wang

J. Comput. Neurosci., 2001

2000

Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons.

Nicolas Brunel

J. Comput. Neurosci., 2000

Phase diagrams of sparsely connected networks of excitatory and inhibitory spiking neurons.

Nicolas Brunel

Neurocomputing, 2000

1999

Fast Global Oscillations in Networks of Integrate-and-Fire Neurons with Low Firing Rates.

Nicolas Brunel, Vincent Hakim

Neural Comput., 1999

1998

Mutual Information, Fisher Information and Population Coding.

Nicolas Brunel, Jean-Pierre Nadal

Neural Comput., 1998

1997

Cross-Correlations in Sparsely Connected Recurrent Networks of Spiking Neurons.

Nicolas Brunel

Proceedings of the Artificial Neural Networks, 1997

Optimal tuning curves for neurons spiking as a Poisson process.

Nicolas Brunel, Jean-Pierre Nadal

Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997

1996

Hebbian Learning of Context in Recurrent Neural Networks.

Nicolas Brunel

Neural Comput., 1996