Evidence map›Paper›PMID 30372760›Full record

ArticleJournal of vision2018

High reward enhances perceptual learning.

Pan Zhang, Fang Hou, Fang-Fang Yan, Jie Xi, Bo-Rong Lin, Jin Zhao, Jia Yang, Ge Chen, Meng-Yuan Zhang, Qing He and 3 more

Abstract read
In one paragraph

Article in Journal of vision, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed.

  1. Trial
  2. Review
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  10. Current directions in visual perceptual learning.Nature reviews psychology · 2022
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  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. General learning ability in perceptual learning.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  18. Article
  19. Reward does not facilitate visual perceptual learning until sleep occurs.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  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

13 authors.

Pan ZhangCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Fang HouSchool of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Fang-Fang YanCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Jie XiCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Bo-Rong LinCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Jin ZhaoCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Jia YangCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Ge ChenCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Meng-Yuan ZhangCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Qing HeCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Barbara Anne DosherDepartment of Cognitive Sciences and Institute of Mathematical Behavioral Sciences, University of California, Irvine, CA, USA.
Zhong-Lin LuLaboratory of Brain Processes (LOBES), Center for Cognitive and Brain Sciences, Center for Cognitive and Behavioral Brain Imaging, and Departments of Psychology, The Ohio State University, Columbus, OH, USA.
Chang-Bing HuangCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.

Funding

The Functions and Mechanisms of Perceptual LearningR01EY017491 · NEI · UNIVERSITY OF CALIFORNIA-IRVINE · PI DOSHER, BARBARA A., LU, ZHONG-LIN · 2006 to 2023
$6.1M
NEI NIH HHS R01 EY017491
6 · The paper itself

Abstract

Studies of perceptual learning have revealed a great deal of plasticity in adult humans. In this study, we systematically investigated the effects and mechanisms of several forms (trial-by-trial, block, and session rewards) and levels (no, low, high, subliminal) of monetary reward on the rate, magnitude, and generalizability of perceptual learning. We found that high monetary reward can greatly promote the rate and boost the magnitude of learning and enhance performance in untrained spatial frequencies and eye without changing interocular, interlocation, and interdirection transfer indices. High reward per se made unique contributions to the enhanced learning through improved internal noise reduction. Furthermore, the effects of high reward on perceptual learning occurred in a range of perceptual tasks. The results may have major implications for the understanding of the nature of the learning rule in perceptual learning and for the use of reward to enhance perceptual learning in practical applications.

Indexed as

RewardHumansLearningTransfer, PsychologyVisual PerceptionYoung Adult

Identifiers

PMID30372760
PMCPMC6108453

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.