Evidence map›Paper›PMID 30930042›Full record

ArticleCurrent biology : CB2019

Category-Induced Transfer of Visual Perceptual Learning.

Qingleng Tan, Zhiyan Wang, Yuka Sasaki, Takeo Watanabe

Open access · bronzeAbstract read
In one paragraph

Article in Current biology : CB, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

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  6. Task-Irrelevant Phase but not Contrast Variability Unlocks Generalization in Visual Perceptual Learning.Journal of cognitive enhancement : towards the integration of theory and practice · 2025
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  11. Testing the efficacy of vision training for presbyopia: alternating-distance training does not facilitate vision improvement compared to fixed-distance training.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Qingleng TanDepartment of Cognitive, Linguistic and Psychological Sciences, Brown University, Providence, RI 02912, USA; Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, Sichuan, PRC.
Zhiyan WangDepartment of Cognitive, Linguistic and Psychological Sciences, Brown University, Providence, RI 02912, USA.
Yuka SasakiDepartment of Cognitive, Linguistic and Psychological Sciences, Brown University, Providence, RI 02912, USA.
Takeo WatanabeDepartment of Cognitive, Linguistic and Psychological Sciences, Brown University, Providence, RI 02912, USA. Electronic address: takeo_watanabe@brown.edu.
Brown University · USSichuan University · CN

Funding

SYSTEMATIC PSYCHOPHYSICAL INVESTIGATION OF VISUAL LEARNINGR01EY019466 · NEI · BROWN UNIVERSITY · PI Takeo Watanabe · 2009 to 2026
$6.6M
Comprehensive frameworks of perceptual learningR01EY027841 · NEI · BROWN UNIVERSITY · PI Takeo Watanabe · 2018 to 2026
$3.2M
The first night effect of sleep and visual plasticityR21EY028329 · NEI · BROWN UNIVERSITY · PI SASAKI, YUKA · 2018 to 2019
$447k
NEI NIH HHS R01 EY019466NEI NIH HHS R01 EY027841NEI NIH HHS R21 EY028329
6 · The paper itself

Abstract

Visual perceptual learning (VPL) refers to a long-term enhancement of visual task performance as a result of visual experience [1-6]. VPL is generally specific for the trained visual feature, meaning that training on a feature leads to performance enhancement only on the feature and those in its close vicinity. In the meantime, visual perception is often categorical [7-10]. This may partially be because the ecological importance of a stimulus is usually determined by the category to which the stimulus belongs (e.g., snake, lightning, and fish) [11]. Thus, it would be advantageous to an observer if encountering or working on a feature from a category increases sensitivity to features under the same category. However, studies of VPL have used uncategorized features. Here, we found a category-induced transfer of VPL, where VPL of an orientation transferred to untrained orientations within the same category as the trained orientation, but not orientations from the different category. Furthermore, we found that, although category learning transferred to other locations in the visual field, the category-induced transfer of VPL occurred only when visual stimuli for the category learning and those for VPL training were presented at the same location. These results altogether suggest that feature specificity in VPL is greatly influenced by cognitive processing, such as categorization in a top-down fashion. In an environment where features are categorically organized, VPL may be more generalized across features under the same category. Such generalization implies that VPL is of more ecological significance than has been thought.

Indexed as

OrientationSpatial LearningTransfer, PsychologyVisual PerceptionAdultFemaleHumansMaleYoung Adultcategory-induced transfercategory learningnatural environmentspecificitytransfervisual perceptual learning

Identifiers

PMID30930042
PMCPMC6482054
OpenAlexW2926660543

What OpenQuestion holds

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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.