Unravelling individual rhythmic abilities using machine learning.
Saved in:
| Title: | Unravelling individual rhythmic abilities using machine learning. |
|---|---|
| Authors: | Dalla Bella S; International Laboratory for Brain, Music, and Sound Research (BRAMS), Montreal, Canada. simone.dalla.bella@umontreal.ca.; Department of Psychology, University of Montreal, Pavillon Marie-Victorin, CP 6128 Succursale Centre-Ville, Montréal, QC, H3C 3J7, Canada. simone.dalla.bella@umontreal.ca.; Centre for Research on Brain, Language and Music (CRBLM), Montreal, Canada. simone.dalla.bella@umontreal.ca.; University of Economics and Human Sciences in Warsaw, Warsaw, Poland. simone.dalla.bella@umontreal.ca., Janaqi S; EuroMov Digital Health in Motion, IMT Mines Ales and University of Montpellier, Ales and Montpellier, France., Benoit CE; Inter-University Laboratory of Human Movement Biology, EA 7424, University Claude Bernard Lyon 1, 69 622, Villeurbanne, France., Farrugia N; IMT Atlantique, Brest, France., Bégel V; Université Paris Cité, Paris, France., Verga L; Comparative Bioacoustics Group, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.; Department of Neuropsychology & Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, P.O. 616, Maastricht, 6200 MD, The Netherlands., Harding EE; Department of Otorhinolaryngology/Head and Neck Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands., Kotz SA; Department of Neuropsychology & Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, P.O. 616, Maastricht, 6200 MD, The Netherlands. sonja.kotz@maastrichtuniversity.nl.; Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. sonja.kotz@maastrichtuniversity.nl. |
| Source: | Scientific reports [Sci Rep] 2024 Jan 11; Vol. 14 (1), pp. 1135. Date of Electronic Publication: 2024 Jan 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
