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 |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38212632 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Unravelling individual rhythmic abilities using machine learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Dalla+Bella+S%22">Dalla Bella S</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Janaqi+S%22">Janaqi S</searchLink>; EuroMov Digital Health in Motion, IMT Mines Ales and University of Montpellier, Ales and Montpellier, France.<br /><searchLink fieldCode="AU" term="%22Benoit+CE%22">Benoit CE</searchLink>; Inter-University Laboratory of Human Movement Biology, EA 7424, University Claude Bernard Lyon 1, 69 622, Villeurbanne, France.<br /><searchLink fieldCode="AU" term="%22Farrugia+N%22">Farrugia N</searchLink>; IMT Atlantique, Brest, France.<br /><searchLink fieldCode="AU" term="%22Bégel+V%22">Bégel V</searchLink>; Université Paris Cité, Paris, France.<br /><searchLink fieldCode="AU" term="%22Verga+L%22">Verga L</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Harding+EE%22">Harding EE</searchLink>; Department of Otorhinolaryngology/Head and Neck Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Kotz+SA%22">Kotz SA</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2024 Jan 11; Vol. 14 (1), pp. 1135. <i>Date of Electronic Publication: </i>2024 Jan 11. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38212632 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-024-51257-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1135 Titles: – TitleFull: Unravelling individual rhythmic abilities using machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dalla Bella S – PersonEntity: Name: NameFull: Janaqi S – PersonEntity: Name: NameFull: Benoit CE – PersonEntity: Name: NameFull: Farrugia N – PersonEntity: Name: NameFull: Bégel V – PersonEntity: Name: NameFull: Verga L – PersonEntity: Name: NameFull: Harding EE – PersonEntity: Name: NameFull: Kotz SA IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 01 Text: 2024 Jan 11 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 14 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
| ResultId | 1 |