Sophie Denève

发表

Circular Inference and Hallucinations

Renaud Jardri, Pantelis Leptourgos, Vincent Bouttier, 2020, Biological Psychiatry.

Heeger's normalization, line attractor networks, and ideal observers

Peter E. Latham, Alexandre Pouget, Sophie Denève, 1999, NIPS 1999.

Computational Account of Spontaneous Activity as a Signature of Predictive Coding

Sophie Denève, Veronika Koren, S. Denéve, 2017, PLoS Comput. Biol..

Bayesian Inference with Spiking Neurons

Sophie Denève, S. Denéve, 2004, Encyclopedia of Computational Neuroscience.

A New Model of Spatial Representation in Multimodal Brain Areas

Alexandre Pouget, Sophie Denève, Jean-René Duhamel, 2000, NIPS.

Spike-Based Population Coding and Working Memory

Sophie Denève, Martin Boerlin, S. Denéve, 2011, PLoS Comput. Biol..

Enforcing balance allows local supervised learning in spiking recurrent networks

Sophie Denève, Ralph Bourdoukan, S. Denéve, 2015, NIPS.

Predictive Coding of Dynamical Variables in Balanced Spiking Networks

Christian K. Machens, Sophie Denève, Martin Boerlin, 2013, PLoS Comput. Biol..

Signatures and mechanisms of low-dimensional neural predictive manifolds

Eric Shea-Brown, Matthew Farrell, Mattia Rigotti, 2018, bioRxiv.

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

Alexandre Pouget, Sophie Denève, Peter E. Latham, 1999, Neural Comput..

Online Learning with Hidden Markov Models

Gianluigi Mongillo, Sophie Denève, G. Mongillo, 2008, Neural Computation.

Spatio-temporal Representations of Uncertainty in Spiking Neural Networks

Cristina Savin, Sophie Denève, S. Denéve, 2014, NIPS.

Bayesian Spiking Neurons II: Learning

Sophie Denève, S. Denéve, 2008, Neural Computation.

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

Peter E. Latham, Alexandre Pouget, Sophie Denève, 1999, Neural Computation.

Efficient and robust coding in heterogeneous recurrent networks

Fleur Zeldenrust, Sophie Denève, Boris Gutkin, 2019, bioRxiv.

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

Boris S. Gutkin, Fleur Zeldenrust, Wytse J. Wadman, 2017, Front. Comput. Neurosci..

The brain as an efficient and robust adaptive learner

Sophie Denève, Alireza Alemi, Ralph Bourdoukan, 2017 .

Learning optimal spike-based representations

Christian K. Machens, Sophie Denève, David G. T. Barrett, 2012, NIPS.

The relevance of Fisher Information for theories of cortical computation and attention

Peter E. Latham, Alexandre Pouget, Sophie Denève, 2001 .

Statistically Efficient Estimation Using Population Coding

Peter E. Latham, Alexandre Pouget, Kechen Zhang, 1998, Neural Computation.

Efficient codes and balanced networks

Christian K. Machens, Sophie Denève, Christian K Machens, 2016, Nature Neuroscience.

Divisive Normalization, Line Attractor Networks and Ideal Observers

Peter E. Latham, Alexandre Pouget, Sophie Denève, 1998, NIPS.

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

Jean-Jacques E. Slotine, Christian K. Machens, Sophie Denève, 2018, AAAI.

Sensory noise predicts divisive reshaping of receptive fields

Boris S. Gutkin, Sophie Denève, Paul Masset, 2017, PLoS Comput. Biol..

Firing rate predictions in optimal balanced networks

Christian K. Machens, Sophie Denève, David G. T. Barrett, 2013, NIPS.

Multisensory integration in multiple reference frames in the posterior parietal cortex

Etienne Olivier, Sophie Denève, Marie Avillac, 2004, Cognitive Processing.

The Brain as an Efficient and Robust Adaptive Learner

Sophie Denève, Alireza Alemi, Ralph Bourdoukan, 2017, Neuron.

Neural Basis of Object-Centered Representations

Alexandre Pouget, Sophie Denève, A. Pouget, 1997, NIPS.

Bayesian Spiking Neurons I: Inference

Sophie Denève, S. Denéve, 2008, Neural Computation.

Optimal compensation for neuron death

Christian K. Machens, Sophie Denève, David G.T. Barrett, 2015, bioRxiv.

Can circular inference relate the neuropathological and behavioral aspects of schizophrenia?

Renaud Jardri, Pantelis Leptourgos, Sophie Denève, 2017, Current Opinion in Neurobiology.

Bayesian decision making in two-alternative forced choices

Sophie Denève, S. Denéve, 2009 .

Are Hallucinations Due to an Imbalance Between Excitatory and Inhibitory Influences on the Brain?

Ben Alderson-Day, Kenneth Hugdahl, Renaud Jardri, 2016, Schizophrenia bulletin.

Circular inference in bistable perception

Renaud Jardri, Pantelis Leptourgos, Sophie Denève, 2019, bioRxiv.

Circular inference: mistaken belief, misplaced trust

Renaud Jardri, Sophie Denève, R. Jardri, 2016, Current Opinion in Behavioral Sciences.

Neural oscillations as a signature of efficient coding in the presence of synaptic delays

Boris Gutkin, Matthew Chalk, Sophie Denève, 2015 .

Experimental evidence for circular inference in schizophrenia

Renaud Jardri, Sophie Denève, Sandrine Duverne, 2017, Nature Communications.