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How may the basal ganglia contribute to auditory categorization and speech perception?

Overview of attention for article published in Frontiers in Neuroscience, August 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Title
How may the basal ganglia contribute to auditory categorization and speech perception?
Published in
Frontiers in Neuroscience, August 2014
DOI 10.3389/fnins.2014.00230
Pubmed ID
Authors

Sung-Joo Lim, Julie A. Fiez, Lori L. Holt

Abstract

Listeners must accomplish two complementary perceptual feats in extracting a message from speech. They must discriminate linguistically-relevant acoustic variability and generalize across irrelevant variability. Said another way, they must categorize speech. Since the mapping of acoustic variability is language-specific, these categories must be learned from experience. Thus, understanding how, in general, the auditory system acquires and represents categories can inform us about the toolbox of mechanisms available to speech perception. This perspective invites consideration of findings from cognitive neuroscience literatures outside of the speech domain as a means of constraining models of speech perception. Although neurobiological models of speech perception have mainly focused on cerebral cortex, research outside the speech domain is consistent with the possibility of significant subcortical contributions in category learning. Here, we review the functional role of one such structure, the basal ganglia. We examine research from animal electrophysiology, human neuroimaging, and behavior to consider characteristics of basal ganglia processing that may be advantageous for speech category learning. We also present emerging evidence for a direct role for basal ganglia in learning auditory categories in a complex, naturalistic task intended to model the incidental manner in which speech categories are acquired. To conclude, we highlight new research questions that arise in incorporating the broader neuroscience research literature in modeling speech perception, and suggest how understanding contributions of the basal ganglia can inform attempts to optimize training protocols for learning non-native speech categories in adulthood.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 5%
Portugal 2 1%
Spain 1 <1%
Unknown 149 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 21%
Researcher 30 19%
Student > Master 18 11%
Student > Bachelor 18 11%
Professor 8 5%
Other 19 12%
Unknown 33 21%
Readers by discipline Count As %
Neuroscience 38 24%
Psychology 34 21%
Agricultural and Biological Sciences 11 7%
Linguistics 7 4%
Medicine and Dentistry 6 4%
Other 21 13%
Unknown 43 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 November 2023.
All research outputs
#5,379,073
of 25,374,647 outputs
Outputs from Frontiers in Neuroscience
#4,058
of 11,542 outputs
Outputs of similar age
#49,471
of 240,209 outputs
Outputs of similar age from Frontiers in Neuroscience
#26
of 123 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 240,209 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.