Literature DB >> 23060126

Implicit learning and acquisition of music.

Martin Rohrmeier1, Patrick Rebuschat.   

Abstract

Implicit learning is a core process for the acquisition of a complex, rule-based environment from mere interaction, such as motor action, skill acquisition, or language. A body of evidence suggests that implicit knowledge governs music acquisition and perception in nonmusicians and musicians, and that both expert and nonexpert participants acquire complex melodic, harmonic, and other features from mere exposure. While current findings and computational modeling largely support the learning of chunks, some results indicate learning of more complex structures. Despite the body of evidence, more research is required to support the cross-cultural validity of implicit learning and to show that core and more complex music theoretical features are acquired implicitly.
Copyright © 2012 Cognitive Science Society, Inc.

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Mesh:

Year:  2012        PMID: 23060126     DOI: 10.1111/j.1756-8765.2012.01223.x

Source DB:  PubMed          Journal:  Top Cogn Sci        ISSN: 1756-8757


  31 in total

1.  Tension-related activity in the orbitofrontal cortex and amygdala: an fMRI study with music.

Authors:  Moritz Lehne; Martin Rohrmeier; Stefan Koelsch
Journal:  Soc Cogn Affect Neurosci       Date:  2013-08-22       Impact factor: 3.436

Review 2.  Principles of structure building in music, language and animal song.

Authors:  Martin Rohrmeier; Willem Zuidema; Geraint A Wiggins; Constance Scharff
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-03-19       Impact factor: 6.237

Review 3.  The multi-component nature of statistical learning.

Authors:  Joanne Arciuli
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-01-05       Impact factor: 6.237

Review 4.  Processing structure in language and music: a case for shared reliance on cognitive control.

Authors:  L Robert Slevc; Brooke M Okada
Journal:  Psychon Bull Rev       Date:  2015-06

Review 5.  Brain correlates of music-evoked emotions.

Authors:  Stefan Koelsch
Journal:  Nat Rev Neurosci       Date:  2014-03       Impact factor: 34.870

6.  Processing of hierarchical syntactic structure in music.

Authors:  Stefan Koelsch; Martin Rohrmeier; Renzo Torrecuso; Sebastian Jentschke
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-03       Impact factor: 11.205

7.  Schema learning for the cocktail party problem.

Authors:  Kevin J P Woods; Josh H McDermott
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-21       Impact factor: 11.205

8.  Electroencephalography reflects the activity of sub-cortical brain regions during approach-withdrawal behaviour while listening to music.

Authors:  Ian Daly; Duncan Williams; Faustina Hwang; Alexis Kirke; Eduardo R Miranda; Slawomir J Nasuto
Journal:  Sci Rep       Date:  2019-07-01       Impact factor: 4.379

9.  Embodiment and repeated exposure do not suffice for abstract concepts acquisition: evidence from tonal music cognition.

Authors:  Gabriel F López; J Fernando Anta
Journal:  Psychol Res       Date:  2022-03-07

Review 10.  Music in the brain.

Authors:  Peter Vuust; Ole A Heggli; Karl J Friston; Morten L Kringelbach
Journal:  Nat Rev Neurosci       Date:  2022-03-29       Impact factor: 38.755

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