Marc Vidal

Postdoctoral Associate at the Department of Data Analysis, Ghent University, and guest researcher at the Max Planck Institute for Human Cognitive and Brain Sciences. I hold a PhD/MSc in Mathematical and Applied Statistics from the University of Granada and a PhD in Art Science from Ghent University. I develop statistical methods and algorithms for preprocessing and analyzing data from neurophysiological monitoring techniques (e.g., EEG, MEG, MRI, pupillometry), integrating elements of infinite-dimensional and high-dimensional data analysis. My primary emphasis of application is on data-driven modeling and inference of neurotransmitter activity during motor and emotional arousal states related to embodiment processes. Below, you can download my CV and view some of my recent research projects.

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Publications

Cholinergic-related pupil activity reflects level of emotionality during motor performance

Vidal, M., Onderdijk, K.E., Aguilera, A.M., Six, J., Maes, P.-J., Fritz, T., Leman, M. (2023)

European Journal of Neuroscience 59(9):2193-2207

DOI Code

Knee flexion of saxophone players anticipates tonal context of music

Moura, N., Vidal, M., Aguilera, A.M., Vilas-Boas, J.P., Serra, S., Leman, M. (2022)

Science of Learning 8(22)

DOI Code

Novel whitening approaches in functional settings

Vidal, M., Aguilera, A.M. (2022)

Stat 12(1):e516

DOI Code Corregidum

Bi-smoothed functional independent component analysis for EEG artifact removal

Vidal, M., Rosso, M., Aguilera, A.M. (2021)

Mathematics 9(11):1243

DOI

Research interests

Functional data analysis
High-dimensional data and statistical learning
Independent component analysis
Music neuroscience: tonality perception, embodiment, emotion
Neural dynamics
Neuroimaging preprocessing methods
Semi- and non-parametric methods
Statistical neuroscience