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ORCIDSophie Denève
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- affiliation: École Normale Supérieure, Group for Neural Theory
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2020 – today
- 2024
[j18]Vincent Bouttier, Salomé Leclercq, Renaud Jardri
, Sophie Denève:
A normative approach to radicalization in social networks. J. Comput. Soc. Sci. 7(1): 1071-1093 (2024)- [i2]Vincent Bouttier, Renaud Jardri, Sophie Denève:
Circular Belief Propagation for Approximate Probabilistic Inference. CoRR abs/2403.12106 (2024) - 2023
- [j17]Mélodie Derome, Petya Kozuharova, Andreea O. Diaconescu, Sophie Denève, Renaud Jardri, Paul Allen:
Functional connectivity and glutamate levels of the medial prefrontal cortex in schizotypy are related to sensory amplification in a probabilistic reasoning task. NeuroImage 278: 120280 (2023) - [i1]Vincent Bouttier, Salomé Leclercq, Renaud Jardri, Sophie Denève:
A normative approach to radicalization in social networks. CoRR abs/2309.00513 (2023) - 2021
- [j16]Fleur Zeldenrust, Boris S. Gutkin, Sophie Denève:
Efficient and robust coding in heterogeneous recurrent networks. PLoS Comput. Biol. 17(4) (2021) - [j15]Nikitas Angeletos Chrysaitis, Renaud Jardri, Sophie Denève, Peggy Seriès:
No increased circular inference in adults with high levels of autistic traits or autism. PLoS Comput. Biol. 17(9) (2021) - 2020
- [j14]Wieland Brendel, Ralph Bourdoukan, Pietro Vertechi, Christian K. Machens, Sophie Denève:
Learning to represent signals spike by spike. PLoS Comput. Biol. 16(3) (2020) - [j13]Pantelis Leptourgos, Vincent Bouttier, Renaud Jardri, Sophie Denève:
A functional theory of bistable perception based on dynamical circular inference. PLoS Comput. Biol. 16(12) (2020)
2010 – 2019
- 2019
- [j12]Osvaldo Simeone, Bipin Rajendran, André Grüning, Evangelos Eleftheriou, Mike Davies, Sophie Denève, Guang-Bin Huang:
Learning Algorithms and Signal Processing for Brain-Inspired Computing [From the Guest Editors]. IEEE Signal Process. Mag. 36(6): 12-15 (2019) - 2018
- [c9]Alireza Alemi, Christian K. Machens, Sophie Denève, Jean-Jacques E. Slotine:
Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules. AAAI 2018: 588-595 - 2017
- [j11]Fleur Zeldenrust, Sicco de Knecht, Wytse J. Wadman, Sophie Denève, Boris S. Gutkin:
Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series. Frontiers Comput. Neurosci. 11: 49 (2017) - [j10]Veronika Koren, Sophie Denève:
Computational Account of Spontaneous Activity as a Signature of Predictive Coding. PLoS Comput. Biol. 13(1) (2017) - [j9]Matthew Chalk, Paul Masset, Sophie Denève, Boris S. Gutkin:
Sensory noise predicts divisive reshaping of receptive fields. PLoS Comput. Biol. 13(6) (2017) - 2015
- [c8]Ralph Bourdoukan, Sophie Denève:
Enforcing balance allows local supervised learning in spiking recurrent networks. NIPS 2015: 982-990 - 2014
- [c7]Cristina Savin, Sophie Denève:
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks. NIPS 2014: 2024-2032 - [r1]Sophie Denève:
Bayesian Inference with Spiking Neurons. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j8]Martin Boerlin, Christian K. Machens, Sophie Denève:
Predictive Coding of Dynamical Variables in Balanced Spiking Networks. PLoS Comput. Biol. 9(11) (2013) - [c6]David G. T. Barrett, Sophie Denève, Christian K. Machens:
Firing rate predictions in optimal balanced networks. NIPS 2013: 1538-1546 - 2012
- [c5]Ralph Bourdoukan, David G. T. Barrett, Christian K. Machens, Sophie Denève:
Learning optimal spike-based representations. NIPS 2012: 2294-2302 - 2011
- [j7]Martin Boerlin, Sophie Denève:
Spike-Based Population Coding and Working Memory. PLoS Comput. Biol. 7(2) (2011)
2000 – 2009
- 2008
- [j6]Sophie Denève:
Bayesian Spiking Neurons I: Inference. Neural Comput. 20(1): 91-117 (2008) - [j5]Sophie Denève:
Bayesian Spiking Neurons II: Learning. Neural Comput. 20(1): 118-145 (2008) - [j4]Gianluigi Mongillo, Sophie Denève:
Online Learning with Hidden Markov Models. Neural Comput. 20(7): 1706-1716 (2008) - 2004
- [j3]Marie Avillac, Etienne Olivier, Sophie Denève, Suliann Ben Hamed, Jean-René Duhamel:
Multisensory integration in multiple reference frames in the posterior parietal cortex. Cogn. Process. 5(3): 159-166 (2004) - [c4]Sophie Denève:
Bayesian inference in spiking neurons. NIPS 2004: 353-360 - 2000
- [c3]Sophie Denève, Jean-René Duhamel, Alexandre Pouget:
A New Model of Spatial Representation in Multimodal Brain Areas. NIPS 2000: 117-123
1990 – 1999
- 1999
- [j2]Alexandre Pouget, Sophie Denève, Jean-Christophe Ducom, Peter E. Latham:
Narrow vs Wide Tuning Curves: What's Best for a Population Code? Neural Comput. 11(1): 85-90 (1999) - 1998
- [j1]Alexandre Pouget, Kechen Zhang, Sophie Denève, Peter E. Latham:
Statistically Efficient Estimation Using Population Coding. Neural Comput. 10(2): 373-401 (1998) - [c2]Sophie Denève, Alexandre Pouget, Peter E. Latham:
Divisive Normalization, Line Attractor Networks and Ideal Observers. NIPS 1998: 104-110 - 1997
- [c1]Sophie Denève, Alexandre Pouget:
Neural Basis of Object-Centered Representations. NIPS 1997: 24-30
Coauthor Index
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