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    Dr Guillaume Hennequin

    University Position
    Associate Professor

    Interests

    I study the link between physiology and behaviour from a computational viewpoint. I am interested in the dynamics of sensory and motor cortices, and how they support complex computations such as movement generation or perceptual inference. Through methods from control theory, statistical physics and dynamical systems, my research has led to a couple of models of neuronal population dynamic, that explain some key aspects of movement-related activity in M1, as well as the stimulus dependence of activity variability in many cortical areas.

    Key Publications

    Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference.

    DOI: http://doi.org/10.1038/s41593-020-0671-1
    Journal: Nat Neurosci
    E-pub date: 1 Sep 2020
    Authors: R Echeveste, L Aitchison, G Hennequin, M Lengyel

    Publications

    Beyond the Euclidean brain: inferring non-Euclidean latent trajectories from spike trains

    DOI: http://doi.org/10.1101/2022.05.11.490308
    Journal:
    E-pub date: 1 Aug 2022
    Authors: K Jensen, D Liu, T-C Kao, M Lengyel, G Hennequin

    Adaptive erasure of spurious sequences in sensory cortical circuits.

    DOI: http://doi.org/10.1016/j.neuron.2022.03.006
    Journal: Neuron
    E-pub date: 1 Jun 2022
    Authors: A Bernacchia, J Fiser, G Hennequin, M Lengyel

    Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference

    DOI: http://doi.org/10.1101/696088
    Journal:
    E-pub date: 1 Aug 2019
    Authors: R Echeveste, L Aitchison, G Hennequin, M Lengyel