Nicolas Brunel

According to our database1, Nicolas Brunel authored at least 41 papers between 1996 and 2016.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Storing structured sparse memories in a multi-modular cortical network model.
Journal of Computational Neuroscience, 2016

Modulation of Network Excitability by Persistent Activity: How Working Memory Affects the Response to Incoming Stimuli.
PLoS Computational Biology, 2015

A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks.
PLoS Computational Biology, 2015

Population Density Models.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Fokker-Planck Equation.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Memory Maintenance in Synapses with Calcium-Based Plasticity in the Presence of Background Activity.
PLoS Computational Biology, 2014

Memory Capacity of Networks with Stochastic Binary Synapses.
PLoS Computational Biology, 2014

Erratum to: Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition.
Journal of Computational Neuroscience, 2014

Analytical approximations of the firing rate of an adaptive exponential integrate-and-fire neuron in the presence of synaptic noise.
Front. Comput. Neurosci., 2014

Optimal Properties of Analog Perceptrons with Excitatory Weights.
PLoS Computational Biology, 2013

Storage of Correlated Patterns in Standard and Bistable Purkinje Cell Models.
PLoS Computational Biology, 2012

From Spiking Neuron Models to Linear-Nonlinear Models.
PLoS Computational Biology, 2011

Dynamics of Networks of Excitatory and Inhibitory Neurons in Response to Time-Dependent Inputs.
Front. Comput. Neurosci., 2011

Modeling and Unsupervised Classification of Multivariate Hidden Markov Chains With Copulas.
IEEE Trans. Automat. Contr., 2010

Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model.
NeuroImage, 2010

Mechanisms of induction and maintenance of spike-timing dependent plasticity in biophysical synapse models.
Front. Comput. Neurosci., 2010

Flow-Based Bayesian Estimation of Nonlinear Differential Equations for Modeling Biological Networks.
Proceedings of the Pattern Recognition in Bioinformatics, 2010

Neuronal Dynamics.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Semantic Priming in a Cortical Network Model.
J. Cognitive Neuroscience, 2009

Synchronization properties of networks of electrically coupled neurons in the presence of noise and heterogeneities.
Journal of Computational Neuroscience, 2009

Encoding of Naturalistic Stimuli by Local Field Potential Spectra in Networks of Excitatory and Inhibitory Neurons.
PLoS Computational Biology, 2008

Efficient supervised learning in networks with binary synapses.
Proc. Natl. Acad. Sci. U.S.A., 2007

STDP in a Bistable Synapse Model Based on CaMKII and Associated Signaling Pathways.
PLoS Computational Biology, 2007

Irregular persistent activity induced by synaptic excitatory feedback.
Front. Comput. Neurosci., 2007

Efficient supervised learning in networks with binary synapses
CoRR, 2007

Estimating parameters and hidden variables in non-linear state-space models based on ODEs for biological networks inference.
Bioinformatics, 2007

How Noise Affects the Synchronization Properties of Recurrent Networks of Inhibitory Neurons.
Neural Computation, 2006

Unsupervised signal restoration using hidden Markov chains with copulas.
Signal Processing, 2005

Dynamics of the Instantaneous Firing Rate in Response to Changes in Input Statistics.
Journal of Computational Neuroscience, 2005

A Continuous Attractor Network Model Without Recurrent Excitation: Maintenance and Integration in the Head Direction Cell System.
Journal of Computational Neuroscience, 2005

Copulas in Vectorial Hidden Markov Chains for Multicomponent Image Segmentation.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Firing Rate of the Noisy Quadratic Integrate-and-Fire Neuron.
Neural Computation, 2003

Dynamics of the Firing Probability of Noisy Integrate-and-Fire Neurons.
Neural Computation, 2002

Effects of Neuromodulation in a Cortical Network Model of Object Working Memory Dominated by Recurrent Inhibition.
Journal of Computational Neuroscience, 2001

Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons.
Journal of Computational Neuroscience, 2000

Phase diagrams of sparsely connected networks of excitatory and inhibitory spiking neurons.
Neurocomputing, 2000

Fast Global Oscillations in Networks of Integrate-and-Fire Neurons with Low Firing Rates.
Neural Computation, 1999

Mutual Information, Fisher Information and Population Coding.
Neural Computation, 1998

Cross-Correlations in Sparsely Connected Recurrent Networks of Spiking Neurons.
Proceedings of the Artificial Neural Networks, 1997

Optimal tuning curves for neurons spiking as a Poisson process.
Proceedings of the ESANN 1997, 1997

Hebbian Learning of Context in Recurrent Neural Networks.
Neural Computation, 1996