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Camille Jeunet

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Documents

Présentation

Camille Jeunet obtained a M.Sc (2013) as well as a PhD (2016) degree in cognitive sciences, both from the University of Bordeaux. Her PhD was awarded by the European Label and by 3 PhD awards, from IFRATH-Kaelis (best PhD in assistive technologies), from the IEEE SMC society (best PhD in Human-Computer Interaction) and from the University of Bordeaux (special prize of the international committee). In 2017-2018, she was hired for a post-doc at EPFL (Geneva, Switzerland) and Inria (Rennes, France). Since October 2018, she has been a Research Scientist at CNRS (the french National Center for Scientific Research) in the CLLE Lab, Toulouse, France. She leads an interdisciplinary research bringing together computer science, psychology and neurosciences in order to better understand the processes underlying human learning in Brain-Computer Interfaces (BCIs), and improve BCI user-training. She is particularly interested in using these technologies to improve motor skills in athletes and in patients who suffered from a stroke. Since 2017, she has been part of the board of the BCI french association, called CORTICO. She is notably in charge of organising, each year, the meeting of this association as well as a conference for the young researchers of the domain.

Publications

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Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist)

Tomas Ros , Stefanie Enriquez-Geppert , Vadim Zotev , Kymberly D Young , Guilherme Wood
Brain - A Journal of Neurology , 2020, 143, pp.1674 - 1685. ⟨10.1093/brain/awaa009⟩
Article dans une revue hal-03417202v1
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EEG neurofeedback research A fertile ground for psychiatry?

Jean-Marie Batail , Stéphanie Bioulac , François Cabestaing , Christophe Daudet , Dominique Drapier
L'Encéphale, 2019, 45 (3), pp.245-255. ⟨10.1016/j.encep.2019.02.001⟩
Article dans une revue hal-02094863v2
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Using EEG-based brain computer interface and neurofeedback targeting sensorimotor rhythms to improve motor skills: Theoretical background, applications and prospects

Camille Jeunet , Bertrand Glize , Aileen Mcgonigal , Jean-Marie Batail , Jean-Arthur Micoulaud-Franchi
Neurophysiologie Clinique = Clinical Neurophysiology, 2019, 49 (2), pp.125-136. ⟨10.1016/j.neucli.2018.10.068⟩
Article dans une revue hal-01919018v1

Modélisation des processus cognitifs et neurophysiologiques sous-tendant l’apprentissage neurofeedback : le rôle de l’attention

Camille Jeunet , Fabien Lotte , Jean-Arthur Micoulaud-Franchi
Neurophysiologie Clinique = Clinical Neurophysiology, 2019, 49 (3), pp.198. ⟨10.1016/j.neucli.2019.05.048⟩
Article dans une revue hal-02167229v1
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Using recent BCI literature to deepen our understanding of clinical neurofeedback: A short review

Camille Jeunet , Fabien Lotte , Jean-Marie Batail , Pierre Philip , Jean-Arthur Micoulaud-Franchi
Neuroscience, 2018, 378, pp.225-233. ⟨10.1016/j.neuroscience.2018.03.013⟩
Article dans une revue hal-01728767v1