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Neuroscience

D-Index
69
Citations
27506
World Ranking
2580
National Ranking
60

Research.com Recognitions

  • 2000 - Fellow of Alfred P. Sloan Foundation

Overview

Alexandre Pouget is affiliated with the University of Geneva in Switzerland and specializes in neuroscience, with a significant focus on cognitive neuroscience. Their research contributions span multiple subfields including cellular and molecular neuroscience, artificial intelligence, sensory systems, and social psychology.

Their main research topics encompass a variety of neural and behavioral studies, notably:

  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Visual perception and processing mechanisms
  • Memory and Neural Mechanisms
  • Neural and Behavioral Psychology Studies
  • Olfactory and Sensory Function Studies
  • Neuroscience and Neuropharmacology Research

Significant recent papers authored or coauthored by Pouget include:

  • "Catalyzing next-generation Artificial Intelligence through NeuroAI", 2023, published in Nature Communications
  • "Mice alternate between discrete strategies during perceptual decision-making", 2022, published in Nature Neuroscience
  • "Synaptic plasticity as Bayesian inference", 2021, published in Nature Neuroscience
  • "A Brain-Wide Map of Neural Activity during Complex Behaviour", 2023, published in bioRxiv (Cold Spring Harbor Laboratory)
  • "International Brain Initiative: An Innovative Framework for Coordinated Global Brain Research Efforts", 2020, published in Neuron

Frequent publication venues for Pouget's work include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Neuron
  • Nature Neuroscience
  • Nature
  • Nature Communications

Among frequent collaborators are:

  • Anne K. Churchland
  • Anthony M. Zador
  • Anne E. Urai
  • Charles Findling
  • Zachary F. Mainen

Throughout their career, Pouget has been recognized with the award of Fellow of the Alfred P. Sloan Foundation in 2000.

Best Publications

  • The Bayesian brain: the role of uncertainty in neural coding and computation

    David C. Knill;Alexandre Pouget

  • Neural correlations, population coding and computation

    Bruno B. Averbeck;Peter E. Latham;Alexandre Pouget

  • Bayesian inference with probabilistic population codes.

    Wei Ji Ma;Jeffrey M Beck;Peter E Latham;Alexandre Pouget

  • Information processing with population codes

    Alexandre Pouget;Peter Dayan;Richard Zemel

  • Bayesian brain : probabilistic approaches to neural coding

    賢治 銅谷;信 石井;Alexandre Pouget;Rajesh P. N. Rao

  • Probabilistic Population Codes for Bayesian Decision Making

    Jeffrey M. Beck;Wei Ji Ma;Wei Ji Ma;Roozbeh Kiani;Timothy Hanks

  • Probabilistic brains: knowns and unknowns

    Alexandre Pouget;Jeffrey M Beck;Wei Ji Ma;Wei Ji Ma;Peter E Latham

  • Brain Plasticity Through the Life Span: Learning to Learn and Action Video Games

    Daphne Bavelier;C. Shawn Green;Alexandre Pouget;Paul Schrater

  • The cost of accumulating evidence in perceptual decision making.

    Jan Drugowitsch;Rubén Moreno-Bote;Anne K. Churchland;Michael N. Shadlen

  • Information-limiting correlations

    Rubén Moreno-Bote;Jeffrey Beck;Ingmar Kanitscheider;Xaq Pitkow

  • Confidence and certainty: distinct probabilistic quantities for different goals.

    Alexandre Pouget;Jan Drugowitsch;Adam Kepecs

  • INFERENCE AND COMPUTATION WITH POPULATION CODES

    Alexandre Pouget;Peter Dayan;Richard S. Zemel

  • Neural correlates of reliability-based cue weighting during multisensory integration

    Christopher R Fetsch;Alexandre Pouget;Alexandre Pouget;Gregory C DeAngelis;Gregory C DeAngelis;Dora E Angelaki;Dora E Angelaki

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

    Marie Avillac;Sophie Denève;Etienne Olivier;Alexandre Pouget

  • Spatial transformations in the parietal cortex using basis functions

    Alexandre Pouget;Terrence J. Sejnowski

  • 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

  • Probabilistic interpretation of population codes

    Richard S. Zemel;Peter Dayan;Alexandre Pouget

  • Efficient computation and cue integration with noisy population codes.

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

  • Improved Probabilistic Inference as a General Learning Mechanism with Action Video Games

    C. Shawn Green;Alexandre Pouget;Daphne Bavelier

Frequent Co-Authors

Terrence J. Sejnowski
Terrence J. Sejnowski Salk Institute for Biological Studies
Wei Ji Ma
Wei Ji Ma New York University
Sophie Denève
Sophie Denève École Normale Supérieure
Dora E. Angelaki
Dora E. Angelaki New York University
Gregory C. DeAngelis
Gregory C. DeAngelis University of Rochester
Daphne Bavelier
Daphne Bavelier University of Geneva
Zachary F. Mainen
Zachary F. Mainen Champalimaud Foundation
Anne K. Churchland
Anne K. Churchland University of California, Los Angeles
Zhong-Lin Lu
Zhong-Lin Lu New York University Shanghai
C. Shawn Green
C. Shawn Green University of Wisconsin–Madison

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