Sophie Denève

30 papers A* 1Journal 20Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A normative approach to radicalization in social networks. J. Comput. Soc. Sci. Vincent Bouttier, Salomé Leclercq, Renaud Jardri, Sophie Denève
2024	J	`jnl`	Circular Belief Propagation for Approximate Probabilistic Inference. CoRR Vincent Bouttier, Renaud Jardri, Sophie Denève
2023	J	`jnl`	A normative approach to radicalization in social networks. CoRR Vincent Bouttier, Salomé Leclercq, Renaud Jardri, Sophie Denève
2023	J	`jnl`	Functional connectivity and glutamate levels of the medial prefrontal cortex in schizotypy are related to sensory amplification in a probabilistic reasoning task. NeuroImage Mélodie Derome, Petya Kozuharova, Andreea O. Diaconescu, Sophie Denève, Renaud Jardri, Paul Allen
2021	J	`jnl`	Efficient and robust coding in heterogeneous recurrent networks. PLoS Comput. Biol. Fleur Zeldenrust, Boris S. Gutkin, Sophie Denève
2021	J	`jnl`	No increased circular inference in adults with high levels of autistic traits or autism. PLoS Comput. Biol. Nikitas Angeletos Chrysaitis, Renaud Jardri, Sophie Denève, Peggy Seriès
2020	J	`jnl`	A functional theory of bistable perception based on dynamical circular inference. PLoS Comput. Biol. Pantelis Leptourgos, Vincent Bouttier, Renaud Jardri, Sophie Denève
2020	J	`jnl`	Learning to represent signals spike by spike. PLoS Comput. Biol. Wieland Brendel, Ralph Bourdoukan, Pietro Vertechi, Christian K. Machens, Sophie Denève
2019	J	`jnl`	Learning Algorithms and Signal Processing for Brain-Inspired Computing [From the Guest Editors]. IEEE Signal Process. Mag. Osvaldo Simeone, Bipin Rajendran, André Grüning, Evangelos Eleftheriou, Mike Davies, Sophie Denève, Guang-Bin Huang
2018	A*	`conf`	Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules. AAAI Alireza Alemi, Christian K. Machens, Sophie Denève, Jean-Jacques E. Slotine
2017	J	`jnl`	Computational Account of Spontaneous Activity as a Signature of Predictive Coding. PLoS Comput. Biol. Veronika Koren, Sophie Denève
2017	J	`jnl`	Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series. Frontiers Comput. Neurosci. Fleur Zeldenrust, Sicco de Knecht, Wytse J. Wadman, Sophie Denève, Boris S. Gutkin
2017	J	`jnl`	Sensory noise predicts divisive reshaping of receptive fields. PLoS Comput. Biol. Matthew Chalk, Paul Masset, Sophie Denève, Boris S. Gutkin
2015	—	`conf`	Enforcing balance allows local supervised learning in spiking recurrent networks. NIPS Ralph Bourdoukan, Sophie Denève
2014	—	`ch.`	Bayesian Inference with Spiking Neurons. Encyclopedia of Computational Neuroscience Sophie Denève
2014	—	`conf`	Spatio-temporal Representations of Uncertainty in Spiking Neural Networks. NIPS Cristina Savin, Sophie Denève
2013	—	`conf`	Firing rate predictions in optimal balanced networks. NIPS David G. T. Barrett, Sophie Denève, Christian K. Machens
2013	J	`jnl`	Predictive Coding of Dynamical Variables in Balanced Spiking Networks. PLoS Comput. Biol. Martin Boerlin, Christian K. Machens, Sophie Denève
2012	—	`conf`	Learning optimal spike-based representations. NIPS Ralph Bourdoukan, David G. T. Barrett, Christian K. Machens, Sophie Denève
2011	J	`jnl`	Spike-Based Population Coding and Working Memory. PLoS Comput. Biol. Martin Boerlin, Sophie Denève
2008	J	`jnl`	Bayesian Spiking Neurons I: Inference. Neural Comput. Sophie Denève
2008	J	`jnl`	Bayesian Spiking Neurons II: Learning. Neural Comput. Sophie Denève
2008	J	`jnl`	Online Learning with Hidden Markov Models. Neural Comput. Gianluigi Mongillo, Sophie Denève
2004	—	`conf`	Bayesian inference in spiking neurons. NIPS Sophie Denève
2004	J	`jnl`	Multisensory integration in multiple reference frames in the posterior parietal cortex. Cogn. Process. Marie Avillac, Etienne Olivier, Sophie Denève, Suliann Ben Hamed, Jean-René Duhamel
2000	—	`conf`	A New Model of Spatial Representation in Multimodal Brain Areas. NIPS Sophie Denève, Jean-René Duhamel, Alexandre Pouget
1999	J	`jnl`	Narrow vs Wide Tuning Curves: What's Best for a Population Code? Neural Comput. Alexandre Pouget, Sophie Denève, Jean-Christophe Ducom, Peter E. Latham
1998	—	`conf`	Divisive Normalization, Line Attractor Networks and Ideal Observers. NIPS Sophie Denève, Alexandre Pouget, Peter E. Latham
1998	J	`jnl`	Statistically Efficient Estimation Using Population Coding. Neural Comput. Alexandre Pouget, Kechen Zhang, Sophie Denève, Peter E. Latham
1997	—	`conf`	Neural Basis of Object-Centered Representations. NIPS Sophie Denève, Alexandre Pouget