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Toward a productive evolutionary understanding of music.
Mehr, Samuel A; Krasnow, Max M; Bryant, Gregory A; Hagen, Edward H.
Afiliación
  • Mehr SA; Department of Psychology, Harvard University, Cambridge, MA02138, USAsam@wjh.harvard.edu, https://mehr.czkrasnow@fas.harvard.edu, https://projects.iq.harvard.edu/epl.
  • Krasnow MM; Data Science Initiative, Harvard University, Cambridge, MA02138.
  • Bryant GA; School of Psychology, Victoria University of Wellington, Wellington6012, New Zealand.
  • Hagen EH; Department of Psychology, Harvard University, Cambridge, MA02138, USAsam@wjh.harvard.edu, https://mehr.czkrasnow@fas.harvard.edu, https://projects.iq.harvard.edu/epl.
Behav Brain Sci ; 44: e122, 2021 09 30.
Article en En | MEDLINE | ID: mdl-34588071
ABSTRACT
We discuss approaches to the study of the evolution of music (sect. R1); challenges to each of the two theories of the origins of music presented in the companion target articles (sect. R2); future directions for testing them (sect. R3); and priorities for better understanding the nature of music (sect. R4).
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Música Límite: Humans Idioma: En Revista: Behav Brain Sci Año: 2021 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Música Límite: Humans Idioma: En Revista: Behav Brain Sci Año: 2021 Tipo del documento: Article