Sophie Denève

According to our database, Sophie Denève authored at least 29 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A normative approach to radicalization in social networks.

Vincent Bouttier, Salomé Leclercq, Renaud Jardri, Sophie Denève

J. Comput. Soc. Sci., April, 2024

Circular Belief Propagation for Approximate Probabilistic Inference.

Vincent Bouttier, Renaud Jardri, Sophie Denève

CoRR, 2024

2023

Functional connectivity and glutamate levels of the medial prefrontal cortex in schizotypy are related to sensory amplification in a probabilistic reasoning task.

Mélodie Derome, Petya Kozuharova, Andreea O. Diaconescu, Sophie Denève, Renaud Jardri, Paul Allen

NeuroImage, September, 2023

2021

Efficient and robust coding in heterogeneous recurrent networks.

Fleur Zeldenrust, Boris S. Gutkin, Sophie Denève

PLoS Comput. Biol., 2021

No increased circular inference in adults with high levels of autistic traits or autism.

Nikitas Angeletos Chrysaitis, Renaud Jardri, Sophie Denève, Peggy Seriès

PLoS Comput. Biol., 2021

2020

A functional theory of bistable perception based on dynamical circular inference.

Pantelis Leptourgos, Vincent Bouttier, Renaud Jardri, Sophie Denève

PLoS Comput. Biol., 2020

Learning to represent signals spike by spike.

Wieland Brendel, Ralph Bourdoukan, Pietro Vertechi, Christian K. Machens, Sophie Denève

PLoS Comput. Biol., 2020

2019

Learning Algorithms and Signal Processing for Brain-Inspired Computing [From the Guest Editors].

Osvaldo Simeone, Bipin Rajendran, André Grüning, Evangelos Eleftheriou, Mike Davies, Sophie Denève, Guang-Bin Huang

IEEE Signal Process. Mag., 2019

2018

Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules.

Alireza Alemi, Christian K. Machens, Sophie Denève, Jean-Jacques E. Slotine

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Computational Account of Spontaneous Activity as a Signature of Predictive Coding.

Veronika Koren, Sophie Denève

PLoS Comput. Biol., 2017

Sensory noise predicts divisive reshaping of receptive fields.

Matthew Chalk, Paul Masset, Sophie Denève, Boris S. Gutkin

PLoS Comput. Biol., 2017

Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series.

Fleur Zeldenrust, Sicco de Knecht, Wytse J. Wadman, Sophie Denève, Boris S. Gutkin

Frontiers Comput. Neurosci., 2017

2015

Enforcing balance allows local supervised learning in spiking recurrent networks.

Ralph Bourdoukan, Sophie Denève

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Bayesian Inference with Spiking Neurons.

Sophie Denève

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Spatio-temporal Representations of Uncertainty in Spiking Neural Networks.

Cristina Savin, Sophie Denève

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Predictive Coding of Dynamical Variables in Balanced Spiking Networks.

Martin Boerlin, Christian K. Machens, Sophie Denève

PLoS Comput. Biol., 2013

Firing rate predictions in optimal balanced networks.

David G. T. Barrett, Sophie Denève, Christian K. Machens

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Learning optimal spike-based representations.

Ralph Bourdoukan, David G. T. Barrett, Christian K. Machens, Sophie Denève

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Spike-Based Population Coding and Working Memory.

Martin Boerlin, Sophie Denève

PLoS Comput. Biol., 2011

2008

Online Learning with Hidden Markov Models.

Gianluigi Mongillo, Sophie Denève

Neural Comput., 2008

Bayesian Spiking Neurons II: Learning.

Sophie Denève

Neural Comput., 2008

Bayesian Spiking Neurons I: Inference.

Sophie Denève

Neural Comput., 2008

2004

Multisensory integration in multiple reference frames in the posterior parietal cortex.

Marie Avillac, Etienne Olivier, Sophie Denève, Suliann Ben Hamed, Jean-René Duhamel

Cogn. Process., 2004

Bayesian inference in spiking neurons.

Sophie Denève

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2000

A New Model of Spatial Representation in Multimodal Brain Areas.

Sophie Denève, Jean-René Duhamel, Alexandre Pouget

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

Narrow vs Wide Tuning Curves: What's Best for a Population Code?

Alexandre Pouget, Sophie Denève, Jean-Christophe Ducom, Peter E. Latham

Neural Comput., 1999

1998

Statistically Efficient Estimation Using Population Coding.

Alexandre Pouget, Kechen Zhang, Sophie Denève, Peter E. Latham

Neural Comput., 1998

Divisive Normalization, Line Attractor Networks and Ideal Observers.

Sophie Denève, Alexandre Pouget, Peter E. Latham

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997

Neural Basis of Object-Centered Representations.

Sophie Denève, Alexandre Pouget

Proceedings of the Advances in Neural Information Processing Systems 10, 1997