M.Sc. René Michel
© Michel
M.Sc. René Michel
PhD-student
Institute of Experimental Psychology (Prof. Busch)
Room Fl. 309a
48149 Münster
T: + 49 (0) 251 83 34129
r.michel[at]uni-muenster.de

Research

 

I am interested in visual perception and attention and how our brain handles the flood of information it receives from our eyes. In particular, I am fascinated by the idea that our brain seems to rhythmically take snapshots of our environment. By means of psychophysics, EEG and machine learning, I try to investigate this phenomenon and shed light on the underlying processes.

 

 

  • Research Areas

    • Neuronal oscillations & visual attention
    • EEG-based fatigue detection using machine-learning

  • CV

    Education

    2016 - 2017      Master Student, Human Factors, German Aerospace Center, Braunschweig

    2014 - 2017      M.Sc. Psychology, Westfälische Wilhelms-Universität Münster

    2011 - 2014      B.Sc. Psychology, Westfälische Wilhelms-Universität Münster

     

     

     

    Positions

    since 2018       Research Assistant, Experimental Psychology (Prof. Dr. Niko Busch),
                                Westfälische Wilhelms-Universität Münster

    2017 - 2018     Research Assistant, Neurobiopsychology (Prof. Dr. Peter König),
                                Institute for Cognitive Science, University Osnabrück

    2016                  Intern, Ipsos GmbH, Hamburg

    2012 - 2016     Student Assistant, Experimental Psychology (apl. Prof. Dr. Jens Bölte),
                                Westfälische Wilhelms-Universität Münster

  • Publications & Talks

    • Michel, R., Dugué, L., Busch, N.A. (2021). Distinct contributions of alpha and theta rhythms to perceptual and attentional sampling. European Journal of Neuroscience. https://doi.org/10.1111/ejn.15154
    • Michel, R., Dugué, L., & Busch, N. A. (2020). Perceptual rhythms are driven by oscillations in visual precision. In Vision Sciences Society Annual Meeting 2020 (online), Journal of Vision. https://doi.org/10.1167/jov.20.11.1164
    • Michel, R. (2020). EEG-basierte Müdigkeitserkennung bei Piloten mittelsmaschinellen Lernens. Talk at the Federal Institute for Occupational Safety and Health (BAuA), Berlin, Germany.
    • Michel, R.; Bölte, J., Liepelt, R. (2018). When a Social Experimenter Overwrites Effects of Salient Objects in an Individual Go/No-Go Simon Task – An ERP Study. Frontiers in Psychology, 3(674). doi: 10.3389/fpsyg.2018.00674.
    • Biella, M., & Michel, R. (2018). Grenzen menschlicher Leistungsfähigkeit im Cockpit: wie können rechtzeitig Performanzeinbrüche erkannt werden? Talk at the German Aerospace Congress, Friedrichshafen, Germany.