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Characterizing congenital amusia.

Authors: Stewart, Lauren;

Characterizing congenital amusia.

Abstract

The ability to make sense of the music in our environment involves sophisticated cognitive mechanisms that, for most people, are acquired effortlessly and in early life. A special population of individuals, with a disorder termed congenital amusia, report lifelong difficulties in this regard. Exploring the nature of this developmental disorder provides a window onto the cognitive architecture of typical musical processing, as well as allowing a study of the relationship between processing of music and other domains, such as language. The present article considers findings concerning pitch discrimination, pitch memory, contour processing, experiential aspects of music listening in amusia, and emerging evidence concerning the neurobiology of the disorder. A simplified model of melodic processing is outlined, and possible loci of the cognitive deficit are discussed.

Related Organizations
Keywords

Pitch Discrimination, Acoustic Stimulation, Auditory Perceptual Disorders, C850, Humans, C830, Models, Psychological, Music, C800

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
38
Top 10%
Top 10%
Top 10%
Green