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D-Index & Metrics

Neuroscience

D-Index
38
Citations
8038
World Ranking
8471
National Ranking
396

Overview

Sophie Denève is affiliated with the École Normale Supérieure in France. Their research spans neuroscience and computer science, with a significant focus on neural dynamics, brain function, and neural networks applications.

The scientist's work covers various fields and subfields, including:

  • Neuroscience
  • Computer Science

  • Cognitive Neuroscience
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Cellular and Molecular Neuroscience
  • Computer Vision and Pattern Recognition

The main research topics include:

  • Neural dynamics and brain function
  • Neural Networks and Applications
  • Advanced Memory and Neural Computing
  • Neuroscience and Neural Engineering
  • Neural Networks and Reservoir Computing
  • Human Pose and Action Recognition
  • Advanced Vision and Imaging

Denève has contributed to publications in several venues, with frequent appearances in:

  • PLoS Computational Biology
  • Nature Methods
  • Nature Communications
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Nature

Selected recent publications include:

  • "Predictive learning as a network mechanism for extracting low-dimensional latent space representations," 2021, Nature Communications
  • "The supplementary material contains detailed mathematical derivations and proofs of all the main concepts explained in this article," 2020, OPAL (Open@LaTrobe) (La Trobe University)
  • "Efficient and robust coding in heterogeneous recurrent networks," 2021, PLoS Computational Biology
  • "Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools," 2024, Nature Methods
  • "A brain-wide map of neural activity during complex behaviour," 2025, Nature

The scientist has collaborated frequently with several co-authors, including:

  • Anup Khanal
  • Guido T. Meijer
  • Jean-Paul Noel
  • Vincent Bouttier
  • Renaud Jardri

Best Publications

  • Reference frames for representing visual and tactile locations in parietal cortex.

    Marie Avillac;Sophie Denève;Etienne Olivier;Alexandre Pouget

  • A computational perspective on the neural basis of multisensory spatial representations

    Alexandre Pouget;Sophie Deneve;Jean-René Duhamel

  • Reading population codes: a neural implementation of ideal observers

    Sophie Deneve;Peter E. Latham;Alexandre Pouget

  • Efficient codes and balanced networks

    Sophie Denève;Christian K Machens

  • Efficient computation and cue integration with noisy population codes.

    S. Deneve;P. E. Latham;A. Pouget

  • Bayesian spiking neurons i: Inference

    Sophie Deneve

  • Evidence that cochlear-implanted deaf patients are better multisensory integrators.

    J. Rouger;S. Lagleyre;B. Fraysse;S. Deneve

  • Statistically efficient estimation using population coding

    Alexandre Pouget;Kechen Zhang;Sophie Deneve;Peter E. Latham

  • Predictive Coding of Dynamical Variables in Balanced Spiking Networks

    Martin Boerlin;Christian K. Machens;Sophie Denève

  • Bayesian multisensory integration and cross-modal spatial links

    Sophie Deneve;Alexandre Pouget

  • Circular inferences in schizophrenia

    Renaud Jardri;Sophie Denève

  • What visual illusions teach us about schizophrenia.

    Charles-Edouard Notredame;Delphine Pins;Sophie Deneve;Renaud Jardri;Renaud Jardri

  • Neural processing as causal inference.

    Timm Lochmann;Sophie Deneve;Sophie Deneve

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

    Renaud Jardri;Kenneth Hugdahl;Matthew Hughes;Jérôme Brunelin

  • Narrow versus wide turning curves: what's best for a population code?

    Alexandre Pouget;Sophie Deneve;Jean-Christophe Ducom;Peter E. Latham

  • Optimal sensorimotor integration in recurrent cortical networks: a neural implementation of Kalman filters.

    Sophie Denève;Jean-René Duhamel;Alexandre Pouget

  • Experimental evidence for circular inference in schizophrenia.

    Renaud Jardri;Sandrine Duverne;Alexandra S Litvinova;Sophie Denève

  • Online learning with hidden markov models

    Gianluigi Mongillo;Sophie Deneve

  • The Brain as an Efficient and Robust Adaptive Learner.

    Sophie Denève;Alireza Alemi;Ralph Bourdoukan

  • Spike-based population coding and working memory.

    Martin Boerlin;Sophie Denève;Sophie Denève

  • Circular inference: mistaken belief, misplaced trust

    Sophie Denève;Renaud Jardri;Renaud Jardri

Frequent Co-Authors

Renaud Jardri
Renaud Jardri University of Lille
Boris Gutkin
Boris Gutkin École Normale Supérieure
Alexandre Pouget
Alexandre Pouget University of Geneva
Jean-René Duhamel
Jean-René Duhamel Centre national de la recherche scientifique, CNRS
Adrienne L. Fairhall
Adrienne L. Fairhall University of Washington
Philip R. Corlett
Philip R. Corlett Yale University
Osvaldo Simeone
Osvaldo Simeone Northeastern University
Bipin Rajendran
Bipin Rajendran King's College London

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