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Identifying musical pieces from fMRI data using encoding and decoding models.
Hoefle, Sebastian; Engel, Annerose; Basilio, Rodrigo; Alluri, Vinoo; Toiviainen, Petri; Cagy, Maurício; Moll, Jorge.
Afiliação
  • Hoefle S; Cognitive and Behavioral Neuroscience Unit and Neuroinformatics Workgroup, D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.
  • Engel A; Biomedical Engineering Program, COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Basilio R; Cognitive and Behavioral Neuroscience Unit and Neuroinformatics Workgroup, D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.
  • Alluri V; Day Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany.
  • Toiviainen P; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
  • Cagy M; Cognitive and Behavioral Neuroscience Unit and Neuroinformatics Workgroup, D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.
  • Moll J; Finnish Centre for Interdisciplinary Music Research, Department of Music, Art and Culture Studies, University of Jyväskylä, Jyväskylä, Finland.
Sci Rep ; 8(1): 2266, 2018 02 02.
Article em En | MEDLINE | ID: mdl-29396524
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Córtex Auditivo / Estimulação Acústica / Imageamento por Ressonância Magnética / Música Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2018 Tipo de documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Córtex Auditivo / Estimulação Acústica / Imageamento por Ressonância Magnética / Música Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2018 Tipo de documento: Article