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ORCIDNicolas Brunel
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2020 – today
- 2024
[j40]Yu Feng
, Nicolas Brunel:
Attractor neural networks with double well synapses. PLoS Comput. Biol. 20(2) (2024)- 2023
- [j39]Sebastian Goldt, Florent Krzakala, Lenka Zdeborová, Nicolas Brunel:
Bayesian reconstruction of memories stored in neural networks from their connectivity. PLoS Comput. Biol. 19(1) (2023) - 2022
- [j38]Aghil Abed Zadeh, Brandon D. Turner, Nicole Calakos, Nicolas Brunel:
Non-monotonic effects of GABAergic synaptic inputs on neuronal firing. PLoS Comput. Biol. 18(6) (2022) - 2020
- [j37]Alessandro Sanzeni, Mark H. Histed, Nicolas Brunel:
Response nonlinearities in networks of spiking neurons. PLoS Comput. Biol. 16(9) (2020)
2010 – 2019
- 2019
- [j36]Ulises Pereira, Nicolas Brunel:
Unsupervised Learning of Persistent and Sequential Activity. Frontiers Comput. Neurosci. 13: 97 (2019) - 2016
- [j35]Alexis M. Dubreuil, Nicolas Brunel:
Storing structured sparse memories in a multi-modular cortical network model. J. Comput. Neurosci. 40(2): 157-175 (2016) - 2015
- [j34]Elisa M. Tartaglia, Nicolas Brunel, Gianluigi Mongillo:
Modulation of Network Excitability by Persistent Activity: How Working Memory Affects the Response to Incoming Stimuli. PLoS Comput. Biol. 11(2) (2015) - [j33]Alireza Alemi, Carlo Baldassi, Nicolas Brunel, Riccardo Zecchina:
A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks. PLoS Comput. Biol. 11(8) (2015) - 2014
- [j32]Loreen Hertäg, Daniel Durstewitz, Nicolas Brunel:
Analytical approximations of the firing rate of an adaptive exponential integrate-and-fire neuron in the presence of synaptic noise. Frontiers Comput. Neurosci. 8: 116 (2014) - [j31]Nicolas Brunel, Xiao-Jing Wang:
Erratum to: Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition. J. Comput. Neurosci. 37(3): 593-594 (2014) - [j30]Alexis M. Dubreuil, Yali Amit, Nicolas Brunel:
Memory Capacity of Networks with Stochastic Binary Synapses. PLoS Comput. Biol. 10(8) (2014) - [j29]David Higgins, Michael Graupner, Nicolas Brunel:
Memory Maintenance in Synapses with Calcium-Based Plasticity in the Presence of Background Activity. PLoS Comput. Biol. 10(10) (2014) - [r3]Nicolas Brunel, Vincent Hakim:
Fokker-Planck Equation. Encyclopedia of Computational Neuroscience 2014 - [r2]Nicolas Brunel, Vincent Hakim:
Population Density Models. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j28]Claudia Clopath, Nicolas Brunel:
Optimal Properties of Analog Perceptrons with Excitatory Weights. PLoS Comput. Biol. 9(2) (2013) - 2012
- [j27]Claudia Clopath, Jean-Pierre Nadal, Nicolas Brunel:
Storage of Correlated Patterns in Standard and Bistable Purkinje Cell Models. PLoS Comput. Biol. 8(4) (2012) - 2011
- [j26]Erwan Ledoux, Nicolas Brunel:
Dynamics of Networks of Excitatory and Inhibitory Neurons in Response to Time-Dependent Inputs. Frontiers Comput. Neurosci. 5: 25 (2011) - [j25]Srdjan Ostojic, Nicolas Brunel:
From Spiking Neuron Models to Linear-Nonlinear Models. PLoS Comput. Biol. 7(1) (2011) - 2010
- [j24]Michael Graupner, Nicolas Brunel:
Mechanisms of induction and maintenance of spike-timing dependent plasticity in biophysical synapse models. Frontiers Comput. Neurosci. 4: 136 (2010) - [j23]Alberto Mazzoni, Kevin Whittingstall, Nicolas Brunel, Nikos K. Logothetis, Stefano Panzeri:
Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model. NeuroImage 52(3): 956-972 (2010) - [j22]Nicolas Brunel, Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski:
Modeling and Unsupervised Classification of Multivariate Hidden Markov Chains With Copulas. IEEE Trans. Autom. Control. 55(2): 338-349 (2010) - [c4]Nicolas Brunel, Florence d'Alché-Buc:
Flow-Based Bayesian Estimation of Nonlinear Differential Equations for Modeling Biological Networks. PRIB 2010: 443-454
2000 – 2009
- 2009
- [j21]Srdjan Ostojic, Nicolas Brunel, Vincent Hakim:
Synchronization properties of networks of electrically coupled neurons in the presence of noise and heterogeneities. J. Comput. Neurosci. 26(3): 369-392 (2009) - [j20]Nicolas Brunel, Frédéric Lavigne:
Semantic Priming in a Cortical Network Model. J. Cogn. Neurosci. 21(12): 2300-2319 (2009) - [r1]Nicolas Brunel, Vincent Hakim:
Neuronal Dynamics. Encyclopedia of Complexity and Systems Science 2009: 6099-6116 - 2008
- [j19]Alberto Mazzoni, Stefano Panzeri, Nikos K. Logothetis, Nicolas Brunel:
Encoding of Naturalistic Stimuli by Local Field Potential Spectra in Networks of Excitatory and Inhibitory Neurons. PLoS Comput. Biol. 4(12) (2008) - 2007
- [j18]Nicolas Brunel, Mark C. W. van Rossum:
Lapicque's 1907 paper: from frogs to integrate-and-fire. Biol. Cybern. 97(5-6): 337-339 (2007) - [j17]Nicolas Brunel, Mark C. W. van Rossum:
Quantitative investigations of electrical nerve excitation treated as polarization: Louis Lapicque 1907 · Translated by. Biol. Cybern. 97(5-6): 341-349 (2007) - [j16]Minh Quach, Nicolas Brunel, Florence d'Alché-Buc:
Estimating parameters and hidden variables in non-linear state-space models based on ODEs for biological networks inference. Bioinform. 23(23): 3209-3216 (2007) - [j15]Francesca Barbieri, Nicolas Brunel:
Irregular persistent activity induced by synaptic excitatory feedback. Frontiers Comput. Neurosci. 1: 5 (2007) - [j14]Michael Graupner, Nicolas Brunel:
STDP in a Bistable Synapse Model Based on CaMKII and Associated Signaling Pathways. PLoS Comput. Biol. 3(11) (2007) - [j13]Carlo Baldassi, Alfredo Braunstein, Nicolas Brunel, Riccardo Zecchina:
Efficient supervised learning in networks with binary synapses. Proc. Natl. Acad. Sci. USA 104(26): 11079-11084 (2007) - [i1]Carlo Baldassi, Alfredo Braunstein, Nicolas Brunel, Riccardo Zecchina:
Efficient supervised learning in networks with binary synapses. CoRR abs/0707.1295 (2007) - 2006
- [j12]Nicolas Brunel, David Hansel:
How Noise Affects the Synchronization Properties of Recurrent Networks of Inhibitory Neurons. Neural Comput. 18(5): 1066-1110 (2006) - 2005
- [j11]Christian Boucheny, Nicolas Brunel, Angelo Arleo:
A Continuous Attractor Network Model Without Recurrent Excitation: Maintenance and Integration in the Head Direction Cell System. J. Comput. Neurosci. 18(2): 205-227 (2005) - [j10]Nicolas Fourcaud-Trocmé, Nicolas Brunel:
Dynamics of the Instantaneous Firing Rate in Response to Changes in Input Statistics. J. Comput. Neurosci. 18(3): 311-321 (2005) - [j9]Nicolas Brunel, Wojciech Pieczynski:
Unsupervised signal restoration using hidden Markov chains with copulas. Signal Process. 85(12): 2304-2315 (2005) - [c3]Nicolas Brunel, Wojciech Pieczynski, Stéphane Derrode:
Copulas in Vectorial Hidden Markov Chains for Multicomponent Image Segmentation. ICASSP (2) 2005: 717-720 - 2003
- [j8]Nicolas Brunel, Peter E. Latham:
Firing Rate of the Noisy Quadratic Integrate-and-Fire Neuron. Neural Comput. 15(10): 2281-2306 (2003) - 2002
- [j7]Nicolas Fourcaud, Nicolas Brunel:
Dynamics of the Firing Probability of Noisy Integrate-and-Fire Neurons. Neural Comput. 14(9): 2057-2110 (2002) - 2001
- [j6]Nicolas Brunel, Xiao-Jing Wang:
Effects of Neuromodulation in a Cortical Network Model of Object Working Memory Dominated by Recurrent Inhibition. J. Comput. Neurosci. 11(1): 63-85 (2001) - 2000
- [j5]Nicolas Brunel:
Phase diagrams of sparsely connected networks of excitatory and inhibitory spiking neurons. Neurocomputing 32-33: 307-312 (2000) - [j4]Nicolas Brunel:
Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons. J. Comput. Neurosci. 8(3): 183-208 (2000)
1990 – 1999
- 1999
- [j3]Nicolas Brunel, Vincent Hakim:
Fast Global Oscillations in Networks of Integrate-and-Fire Neurons with Low Firing Rates. Neural Comput. 11(7): 1621-1671 (1999) - 1998
- [j2]Nicolas Brunel, Jean-Pierre Nadal:
Mutual Information, Fisher Information and Population Coding. Neural Comput. 10(7): 1731-1757 (1998) - 1997
- [c2]Nicolas Brunel, Jean-Pierre Nadal:
Optimal tuning curves for neurons spiking as a Poisson process. ESANN 1997 - [c1]Nicolas Brunel:
Cross-Correlations in Sparsely Connected Recurrent Networks of Spiking Neurons. ICANN 1997: 31-36 - 1996
- [j1]Nicolas Brunel:
Hebbian Learning of Context in Recurrent Neural Networks. Neural Comput. 8(8): 1677-1710 (1996)
Coauthor Index
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