Evidence map›Paper›PMID 33532985›Full record

ArticlePsychonomic bulletin & review2021

Comparing perceptual category learning across modalities in the same individuals.

Casey L Roark, Giorgio Paulon, Abhra Sarkar, Bharath Chandrasekaran

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Psychonomic bulletin & review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  5. Auditory Category Learning in Children With Dyslexia.Journal of speech, language, and hearing research : JSLHR · 2024
    Article
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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

4 authors at 2 institutions in 1 country.

Casey L RoarkDepartment of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, USA. croark@pitt.edu.ORCID http://orcid.org/0000-0001-5642-8784
Giorgio PaulonDepartment of Statistics and Data Sciences, The University of Texas at Austin, Austin, TX, USA.
Abhra SarkarDepartment of Statistics and Data Sciences, The University of Texas at Austin, Austin, TX, USA.
Bharath ChandrasekaranDepartment of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, USA. b.chandra@pitt.edu.
The University of Texas at Austin · USUniversity of Pittsburgh · US

Funding

Supplement to cortical contributions to frequency-following response generation and modulationR01DC013315 · NIDCD · UNIVERSITY OF TEXAS AT AUSTIN · PI ABEL, TAYLOR JOHN, CHANDRASEKARAN, BHARATH · 2014 to 2025
$5.5M
Neural Systems in Auditory and Speech CategorizationR01DC015504 · NIDCD · UNIVERSITY OF TEXAS AT AUSTIN · PI CHANDRASEKARAN, BHARATH · 2017 to 2021
$2.3M
Shared and specific mechanisms of auditory and visual category learningF32DC018979 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROARK, CASEY L · 2020 to 2021
$131k
National Science Foundation NSF-1953712NIDCD NIH HHS F32 DC018979NIDCD NIH HHS R01 DC013315NIDCD NIH HHS R01DC013315A1NIDCD NIH HHS R01 DC015504
6 · The paper itself

Abstract

Category learning is a fundamental process in human cognition that spans the senses. However, much still remains unknown about the mechanisms supporting learning in different modalities. In the current study, we directly compared auditory and visual category learning in the same individuals. Thirty participants (22 F; 18-32 years old) completed two unidimensional rule-based category learning tasks in a single day - one with auditory stimuli and another with visual stimuli. We replicated the results in a second experiment with a larger online sample (N = 99, 45 F, 18-35 years old). The categories were identically structured in the two modalities to facilitate comparison. We compared categorization accuracy, decision processes as assessed through drift-diffusion models, and the generalizability of resulting category representation through a generalization test. We found that individuals learned auditory and visual categories to similar extents and that accuracies were highly correlated across the two tasks. Participants had similar evidence accumulation rates in later learning, but early on had slower rates for visual than auditory learning. Participants also demonstrated differences in the decision thresholds across modalities. Participants had more categorical generalizable representations for visual than auditory categories. These results suggest that some modality-general cognitive processes support category learning but also suggest that the modality of the stimuli may also affect category learning behavior and outcomes.

Indexed as

AdolescentAdultAuditory PerceptionConcept FormationFemaleGeneralization, PsychologicalHumansMaleVisual PerceptionYoung AdultAuditionCategory learningModality effectsVision

Identifiers

PMID33532985
PMCPMC8222058
OpenAlexW3126661286

What OpenQuestion holds

Textmetadata
LicenceTDM
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.