Sophie Denève

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 14

Top Topics

Recurrent Networks

Prefrontal Cortex

Probabilistic Inference

Belief Propagation

Top Venues

PLoS Comput. Biol.

Publications

Vincent Bouttier, Renaud Jardri, Sophie Denève
Circular Belief Propagation for Approximate Probabilistic Inference. CoRR (2024)
Vincent Bouttier, Salomé Leclercq, Renaud Jardri, Sophie Denève
A normative approach to radicalization in social networks. J. Comput. Soc. Sci. 7 (1) (2024)
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 (2023)
Vincent Bouttier, Salomé Leclercq, Renaud Jardri, Sophie Denève
A normative approach to radicalization in social networks. CoRR (2023)
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)
Fleur Zeldenrust, Boris S. Gutkin, Sophie Denève
Efficient and robust coding in heterogeneous recurrent networks. PLoS Comput. Biol. 17 (4) (2021)
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)
Wieland Brendel, Ralph Bourdoukan, Pietro Vertechi, Christian K. Machens, Sophie Denève
Learning to represent signals spike by spike. PLoS Comput. Biol. 16 (3) (2020)
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) (2019)
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)
Veronika Koren, Sophie Denève
Computational Account of Spontaneous Activity as a Signature of Predictive Coding. PLoS Comput. Biol. 13 (1) (2017)
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 (2017)
Matthew Chalk, Paul Masset, Sophie Denève, Boris S. Gutkin
Sensory noise predicts divisive reshaping of receptive fields. PLoS Comput. Biol. 13 (6) (2017)
Ralph Bourdoukan, Sophie Denève
Enforcing balance allows local supervised learning in spiking recurrent networks. NIPS (2015)
Cristina Savin, Sophie Denève
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks. NIPS (2014)
Martin Boerlin, Christian K. Machens, Sophie Denève
Predictive Coding of Dynamical Variables in Balanced Spiking Networks. PLoS Comput. Biol. 9 (11) (2013)
David G. T. Barrett, Sophie Denève, Christian K. Machens
Firing rate predictions in optimal balanced networks. NIPS (2013)
Ralph Bourdoukan, David G. T. Barrett, Christian K. Machens, Sophie Denève
Learning optimal spike-based representations. NIPS (2012)
Martin Boerlin, Sophie Denève
Spike-Based Population Coding and Working Memory. PLoS Comput. Biol. 7 (2) (2011)
Gianluigi Mongillo, Sophie Denève
Online Learning with Hidden Markov Models. Neural Comput. 20 (7) (2008)
Sophie Denève
Bayesian Spiking Neurons II: Learning. Neural Comput. 20 (1) (2008)
Sophie Denève
Bayesian Spiking Neurons I: Inference. Neural Comput. 20 (1) (2008)
Sophie Denève
Bayesian inference in spiking neurons. NIPS (2004)
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) (2004)
Sophie Denève, Jean-René Duhamel, Alexandre Pouget
A New Model of Spatial Representation in Multimodal Brain Areas. NIPS (2000)
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) (1999)
Alexandre Pouget, Kechen Zhang, Sophie Denève, Peter E. Latham
Statistically Efficient Estimation Using Population Coding. Neural Comput. 10 (2) (1998)
Sophie Denève, Alexandre Pouget, Peter E. Latham
Divisive Normalization, Line Attractor Networks and Ideal Observers. NIPS (1998)
Sophie Denève, Alexandre Pouget
Neural Basis of Object-Centered Representations. NIPS (1997)