Evidence map›Paper›PMID 24758723›Full record

ReviewAnnals of the New York Academy of Sciences2014

Two-stage model in perceptual learning: toward a unified theory.

Kazuhisa Shibata, Dov Sagi, Takeo Watanabe

Abstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

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  10. Distinct Neural Plasticity Enhancing Visual Perception.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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  17. Stereoscopic Visual Perceptual Learning in Seniors.Geriatrics (Basel, Switzerland) · 2021
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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

3 authors.

Kazuhisa ShibataDepartment of Cognitive, Linguistic & Psychological Sciences, Brown University, Providence, Rhode Island.
Dov Sagi
Takeo Watanabe

Funding

SYSTEMATIC PSYCHOPHYSICAL INVESTIGATION OF VISUAL LEARNINGR01EY019466 · NEI · BROWN UNIVERSITY · PI Takeo Watanabe · 2009 to 2026
$6.6M
The Mechanisms of Perceptual LearningR01EY015980 · NEI · BROWN UNIVERSITY · PI WATANABE, TAKEO · 2004 to 2013
$3.3M
Perceptual Learning and SleepR01MH091801 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI SASAKI, YUKA, WATANABE, TAKEO · 2010 to 2014
$2.1M
NEI NIH HHS R01 EY015980NEI NIH HHS R01 EY019466NIMH NIH HHS R01 MH091801
6 · The paper itself

Abstract

Training or exposure to a visual feature leads to a long-term improvement in performance on visual tasks that employ this feature. Such performance improvements and the processes that govern them are called visual perceptual learning (VPL). As an ever greater volume of research accumulates in the field, we have reached a point where a unifying model of VPL should be sought. A new wave of research findings has exposed diverging results along three major directions in VPL: specificity versus generalization of VPL, lower versus higher brain locus of VPL, and task-relevant versus task-irrelevant VPL. In this review, we propose a new theoretical model that suggests the involvement of two different stages in VPL: a low-level, stimulus-driven stage, and a higher-level stage dominated by task demands. If experimentally verified, this model would not only constructively unify the current divergent results in the VPL field, but would also lead to a significantly better understanding of visual plasticity, which may, in turn, lead to interventions to ameliorate diseases affecting vision and other pathological or age-related visual and nonvisual declines.

Indexed as

Models, BiologicalAnimalsBrainHumansLearningVisual Perceptionperceptual learningplasticitytwo-stage modelvision

Identifiers

PMID24758723
PMCPMC4103699

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.