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Working memory relates to individual differences in speech category learning: Insights from computational modeling and pupillometry

View ORCID ProfileJacie R. McHaney, View ORCID ProfileRachel Tessmer, View ORCID ProfileCasey L. Roark, View ORCID ProfileBharath Chandrasekaran
doi: https://doi.org/10.1101/2021.01.10.426093
Jacie R. McHaney
1Department of Communication Science and Disorders, University of Pittsburgh
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Rachel Tessmer
2Department of Speech, Language, and Hearing Sciences, University of Texas at Austin
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Casey L. Roark
1Department of Communication Science and Disorders, University of Pittsburgh
3Center for the Neural Basis of Cognition, Pittsburgh, PA
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Bharath Chandrasekaran
1Department of Communication Science and Disorders, University of Pittsburgh
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  • For correspondence: b.chandra@pitt.edu
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Abstract

Across two experiments, we examine the relationship between individual differences in working memory (WM) and the acquisition of non-native speech categories in adulthood. While WM is associated with individual differences in a variety of learning tasks, successful acquisition of speech categories is argued to be contingent on WM-independent procedural-learning mechanisms. Thus, the role of WM in speech category learning is unclear. In Experiment 1, we show that individuals with higher WM acquire non-native speech categories faster and to a greater extent than those with lower WM. In Experiment 2, we replicate these results and show that individuals with higher WM use more optimal, procedural-based learning strategies and demonstrate more distinct speech-evoked pupillary responses for correct relative to incorrect trials. We propose that higher WM may allow for greater stimulus-related attention, resulting in more robust representations and optimal learning strategies. We discuss implications for neurobiological models of speech category learning.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted January 10, 2021.
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Working memory relates to individual differences in speech category learning: Insights from computational modeling and pupillometry
Jacie R. McHaney, Rachel Tessmer, Casey L. Roark, Bharath Chandrasekaran
bioRxiv 2021.01.10.426093; doi: https://doi.org/10.1101/2021.01.10.426093
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Working memory relates to individual differences in speech category learning: Insights from computational modeling and pupillometry
Jacie R. McHaney, Rachel Tessmer, Casey L. Roark, Bharath Chandrasekaran
bioRxiv 2021.01.10.426093; doi: https://doi.org/10.1101/2021.01.10.426093

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