Dr. Charlotte Sylvie Le Mouel

Dr. Charlotte Sylvie Le Mouel

Horstmarer Landweg 62B
48149 Münster

Akademisches Profil

  • Forschungsschwerpunkte

    • balance during stance and dynamic movement, e.g. walking, hand-walking and running
    • balance impairments during ageing, disease and injury
    • human movement experiments and data analysis
    • neuro-musculo-skeletal modeling and simulation

  • Vita

    Akademische Ausbildung

    Master 2 in Cognitive studies (first-class honors), Ecole Normale Supérieure de Paris
    Diploma of the Ecole Normale Supérieure de Paris, France Major in Cognitive Science, Minor in Physics
    Master 1 in Neuroscience (first-class honors), Ecole Normale Supérieure de Paris
    Bachelor in Physics (upper second-class honors), Ecole Normale Supérieure de Paris

    Beruflicher Werdegang

    Guest researcher, Max Planck Institute for Intelligent Systems, Stuttgart
    Post-doctoral researcher, Institute of Sports Science, University of Münster
    Post-doctoral Fellow, Max Planck Institute for Intelligent Systems, Stuttgart
    Ph.D. program of the Brain-Behaviour-Cognition doctoral school; Computational Neuroscience of Sensory Systems, Sorbonne Université, Paris
    Research internship, Université de Genève
    Research internship, University College London
    Research internship, University College London

  • Projekte

    • Balance control during hand-stance and hand-walking (seit )
      Eigenmittelprojekt
    • Measurement of the human whole body center of mass during dynamic movement (seit )
      Eigenmittelprojekt
    • Filtering for motion analysis (seit )
      Eigenmittelprojekt

  • Publikationen

    Auswahl

    • Le Mouel C, Tisserand R, Robert T, Brette R. . ‘Postural adjustments in anticipation of predictable perturbations allow elderly fallers to achieve a balance recovery performance equivalent to elderly non-fallers.’ Gait and Posture 2019. doi: 10.1016/j.gaitpost.2019.04.025.
    • Le Mouel C, Brette R. . ‘Anticipatory coadaptation of ankle stiffness and sensorimotor gain for standing balance.’ PLoS Computational Biology 15, Nr. 11: e1007463. doi: 10.1371/journal.pcbi.1007463.
    • Le Mouel C, Brette R. . ‘Mobility as the Purpose of Postural Control.’ Frontiers in Computational Neuroscience 11: 67. doi: 10.3389/fncom.2017.00067.
    • Le Mouel C, Harris KD, Yger P. . ‘Supervised learning with decision margins in pools of spiking neurons.’ Journal of Computational Neuroscience 37, Nr. 2: 333–344. doi: 10.1007/s10827-014-0505-9.

    Gesamtliste

    • Dubbeldam, Rosemary; Lee, Yu Yuan; Mochizuki, Luis; Le Mouel, Charlotte. . ‘Systematic review of candidate prognostic factors for falling in older adults identified from motion analysis of challenging walking tasks.’ European Review of Aging and Physical Activity 20: ERAP-D-22-00029. doi: 10.1101/2022.06.23.22275679.
    • De Graaf, Myriam Lauren; Mochizuki, Luis; Thies, Frederik; Wagner, Heiko; Le Mouel, Charlotte. Motor pattern generation is robust to neural network anatomical imbalance favoring inhibition but not excitation bioRxiv. doi: 10.1101/2022.04.21.489087.
    • Heim S, Millard M, Le Mouel C, Badri-Spröwitz A. . ‘A little damping goes a long way: a simulation study of how damping influences task-level stability in running.’ Biology Letters 16, Nr. 9: 20200467. doi: 10.1098/rsbl.2020.0467.
    • Le Mouel C, Tisserand R, Robert T, Brette R. . ‘Postural adjustments in anticipation of predictable perturbations allow elderly fallers to achieve a balance recovery performance equivalent to elderly non-fallers.’ Gait and Posture 2019. doi: 10.1016/j.gaitpost.2019.04.025.
    • Le Mouel C, Brette R. . ‘Anticipatory coadaptation of ankle stiffness and sensorimotor gain for standing balance.’ PLoS Computational Biology 15, Nr. 11: e1007463. doi: 10.1371/journal.pcbi.1007463.
    • Le Mouel C, Brette R. . ‘Mobility as the Purpose of Postural Control.’ Frontiers in Computational Neuroscience 11: 67. doi: 10.3389/fncom.2017.00067.
    • Le Mouel C, Harris KD, Yger P. . ‘Supervised learning with decision margins in pools of spiking neurons.’ Journal of Computational Neuroscience 37, Nr. 2: 333–344. doi: 10.1007/s10827-014-0505-9.