Evidence map›Paper›PMID 35482783›Full record

ArticlePsychological science2022

Identifying Long- and Short-Term Processes in Perceptual Learning.

Jia Yang, Fang-Fang Yan, Lijun Chen, Shuhan Fan, Yifan Wu, Lei Jiang, Jie Xi, Junlei Zhao, Yudong Zhang, Zhong-Lin Lu and 1 more

Abstract read
In one paragraph

Article in Psychological science, 2022. 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
–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

9 citing papers in PubMed.

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  9. Current directions in visual perceptual learning.Nature reviews psychology · 2022
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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

11 authors.

Jia YangKey Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences.
Fang-Fang YanKey Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences.
Lijun ChenKey Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences.
Shuhan FanKey Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences.
Yifan WuKey Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences.
Lei JiangKey Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences.
Jie XiKey Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences.
Junlei ZhaoKey Laboratory of Adaptive Optics, Chinese Academy of Sciences.
Yudong ZhangKey Laboratory of Adaptive Optics, Chinese Academy of Sciences.
Zhong-Lin LuDivision of Arts and Sciences, New York University Shanghai.ORCID 0000-0002-7295-727X
Chang-Bing HuangKey Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences.

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

Practice makes perfect in almost all perceptual tasks, but how perceptual improvements accumulate remains unknown. Here, we developed a multicomponent theoretical framework to model contributions of both long- and short-term processes in perceptual learning. Applications of the framework to the block-by-block learning curves of 49 adult participants in seven perceptual tasks identified ubiquitous long-term general learning and within-session relearning in most tasks. More importantly, we also found between-session forgetting in the vernier-offset discrimination, face-view discrimination, and auditory-frequency discrimination tasks; between-session off-line gain in the visual shape search task; and within-session adaptation and both between-session forgetting and off-line gain in the contrast detection task. The main results of the vernier-offset discrimination and visual shape search tasks were replicated in a new experiment. The multicomponent model provides a theoretical framework to identify component processes in perceptual learning and a potential tool to optimize learning in normal and clinical populations.

Indexed as

Discrimination, PsychologicalLearningAdultAuditory PerceptionHumansMental Recalladaptationforgettinglearning formlong-term memoryoff-line gainopen dataperceptual learningrelearning

Identifiers

PMID35482783
PMCPMC9248287

What OpenQuestion holds

Textmetadata
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.