Marc Vidal

marc.vidalbadia@ugent.be

Department

Department of Art, Music and Theatre Sciences

Research group(s)

IPEM - Instituut voor Psychoacustica en Elektronische Muziek

Other institution(s)

Department of Statistics and Institute of Mathematics - University of Granada

Additional tags

Music Analysis

Music Cognition

Statistical methods

Tabgroup

About

Curriculum vitae

Marc is a researcher in music neuroscience and mathematical and applied statistics, promoted by Prof. Dr. M. Leman and Prof. Dr. A. Aguilera. He is interested in modelling biosignals (EEG, fMRI, pupillometry) to uncover the neuromodulatory effects of motor intention during music performance tasks. His research also focuses on functional data-based statistical techniques, particularly in independent component and dynamic systems models.

Research areas

*Mathematical and data-driven models in embodied music neuroscience
*Stability and dynamics of coupled systems in music
*Forecasting and modelling with functional data analysis

Education and Teaching Experience

2018-2020 MSc in Mathematical and Applied Statistics (Honours) | UGR, Granada
2013-2020 Lecturer in Music Theory | Conservatory of Granollers, Barcelona
2005-2013 Diploma in Music and Communications | ESMUC-UB, Barcelona

Awards

2016 First prize at “Frederic Mompou” International Composition Competition

Software development

pfica → an R package that implements penalized ICA approaches for functional data

e aR → an R package for perception-based auditory and music analysis

Current affiliations ESCOM, SEIO, IMS

Editorial service: Musicae Scientiae

Publications

Most recent publications

Full bibliography

Activities

Abstracts • Presentations • Posters

Vidal, M., Aguilera, A.M. (2021). Independent Component Analysis Techniques for Functional Data. Presented at the 5th International Workshop on Functional and Operatorial Statistics, Brno, Czech Republic • June 23-25, 2021.
Besada, J.L., Vidal, M. (2021). Confronting composers’ visual imagery with listeners’ experience of music. Presented at the 8th International Conference on Spatial Cognition, Rome, Italy • September 13-17, 2021. https://doi.org/10.1007/s10339-021-01058-x
Vidal, M., Aguilera, A.M., Leman, M., Vindas, J. (2021). Estimation Process in Hilbertian Independent Component Analysis Models. Presented at the 28th Annual meeting of the Royal Statistical Society of Belgium, Liège, Belgium • October 21-22, 2021.
Vidal, M., Leman, M., Aguilera, A.M., Fritz, T. (2021). Neuromodulatory effects of movement during auditory-motor tasks. Presented at the 17th Annual Neuromusic VConference, Hamilton, Ontario L8S 4L8, Canada • November 20, 2021.
Vidal, M., Aguilera, A.M. (2022). On the independent components model for functional data. Presented at the 39th Annual Congress of the Spanish Statistical Society, Granada, Spain • June 7-10, 2022.