Evidence map›Paper›PMID 25132827›Full record

ArticleFrontiers in psychology2014

Toward a dual-learning systems model of speech category learning.

Bharath Chandrasekaran, Seth R Koslov, W T Maddox

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.8field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Impaired perceptual phonetic plasticity in Parkinson's disease.The Journal of the Acoustical Society of America · 2022
    Article
  7. Auditory and visual category learning in musicians and nonmusicians.Journal of experimental psychology. General · 2022
    Article
  8. Article
  9. Article
  10. Neural Fingerprints Underlying Individual Language Learning Profiles.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Perceptual dimensions influence auditory category learning.Attention, perception & psychophysics · 2019
    Article
  17. Task and distribution sampling affect auditory category learning.Attention, perception & psychophysics · 2018
    Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Bharath ChandrasekaranSoundBrain Lab, Department of Communication Sciences and Disorders, The University of Texas at Austin Austin, TX, USA ; Institute for Mental Health Research, The University of Texas at Austin Austin, TX, USA ; Institute for Neuroscience, The University of Texas at Austin Austin, TX, USA ; Department of Psychology, The University of Texas at Austin Austin, TX, USA.
Seth R KoslovDepartment of Psychology, The University of Texas at Austin Austin, TX, USA.
W T MaddoxInstitute for Mental Health Research, The University of Texas at Austin Austin, TX, USA ; Institute for Neuroscience, The University of Texas at Austin Austin, TX, USA ; Department of Psychology, The University of Texas at Austin Austin, TX, USA.
The University of Texas at Austin · US

Funding

Genetic Influences on Dual Processing Modes of Reward and Punishment LearningR01DA032457 · NIDA · UNIVERSITY OF TEXAS AT AUSTIN · PI BEEVERS, CHRISTOPHER G · 2012 to 2016
$2.2M
A computational neuroscience approach to frontal compensation in decision-makingR01AG043425 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI SCHNYER, DAVID M, WORTHY, DARRELL A. · 2014 to 2019
$1.7M
Tests of neurobiologically-inspired Model of the Motivation-Learning InterfaceR01MH077708 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI MADDOX, W TODD TODD · 2007 to 2011
$1.5M
NIA NIH HHS R01 AG043425NIDA NIH HHS R01 DA032457NIMH NIH HHS R01 MH077708
6 · The paper itself

Abstract

More than two decades of work in vision posits the existence of dual-learning systems of category learning. The reflective system uses working memory to develop and test rules for classifying in an explicit fashion, while the reflexive system operates by implicitly associating perception with actions that lead to reinforcement. Dual-learning systems models hypothesize that in learning natural categories, learners initially use the reflective system and, with practice, transfer control to the reflexive system. The role of reflective and reflexive systems in auditory category learning and more specifically in speech category learning has not been systematically examined. In this article, we describe a neurobiologically constrained dual-learning systems theoretical framework that is currently being developed in speech category learning and review recent applications of this framework. Using behavioral and computational modeling approaches, we provide evidence that speech category learning is predominantly mediated by the reflexive learning system. In one application, we explore the effects of normal aging on non-speech and speech category learning. Prominently, we find a large age-related deficit in speech learning. The computational modeling suggests that older adults are less likely to transition from simple, reflective, unidimensional rules to more complex, reflexive, multi-dimensional rules. In a second application, we summarize a recent study examining auditory category learning in individuals with elevated depressive symptoms. We find a deficit in reflective-optimal and an enhancement in reflexive-optimal auditory category learning. Interestingly, individuals with elevated depressive symptoms also show an advantage in learning speech categories. We end with a brief summary and description of a number of future directions.

Indexed as

agingcomputational modelingdepressiondual-learning systemsprocedural learningreflectivereflexive

Identifiers

PMID25132827
PMCPMC4116788
OpenAlexW2156208197

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.