ReviewWiley interdisciplinary reviews. Cognitive science2012
Recent progress in perceptual learning research.
Review in Wiley interdisciplinary reviews. Cognitive science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed.
- Transfer of learning between hemifields in multiple object tracking: memory reduces constraints of attention.PloS one · 2013Trial
- Ocular Dominance Plasticity: A Mini-Review.Eye and brain · 2025Review
- Effects of stimulus and task structure on temporal perceptual learning.Scientific reports · 2021Article
- Effects of High-Definition Transcranial Direct Current Stimulation Over the Left Fusiform Face Area on Face View Discrimination Depend on the Individual Baseline Performance.Frontiers in neuroscience · 2021Article
- Exogenous attention facilitates perceptual learning in visual acuity to untrained stimulus locations and features.Journal of vision · 2020Article
- Multi-Stage Cortical Plasticity Induced by Visual Contrast Learning.Frontiers in neuroscience · 2020Article
- Evaluating the performance of the staircase and quick Change Detection methods in measuring perceptual learning.Journal of vision · 2019Article
- Analysis of Perceptual Expertise in Radiology - Current Knowledge and a New Perspective.Frontiers in human neuroscience · 2019Review
- Asymmetric perceptual confounds between canonical lightings and materials.Journal of vision · 2018Article
- Endogenous spatial attention during perceptual learning facilitates location transfer.Journal of vision · 2018Article
- High reward enhances perceptual learning.Journal of vision · 2018Article
- Article
- Exogenous attention facilitates location transfer of perceptual learning.Journal of vision · 2015Article
- Alpha-band EEG activity in perceptual learning.Journal of vision · 2015Article
- Time perception: the bad news and the good.Wiley interdisciplinary reviews. Cognitive science · 2014Review
- Two-stage model in perceptual learning: toward a unified theory.Annals of the New York Academy of Sciences · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Perceptual learning is defined as long-term improvement in perceptual or sensory systems resulting from repeated practice or experience. As the number of perceptual learning studies has increased, controversies and questions have arisen regarding divergent aspects of perceptual learning, including: (1) stages in which perceptual learning occurs, (2) effects of training type, (3) changes in neural processing during the time course of learning, (4) effects of feedback as to correctness of a subject's responses, and (5) double training. Here we review each of these aspects and suggest fruitful directions for future perceptual learning research. WIREs Cogn Sci 2012, 3:293-299. doi: 10.1002/wcs.1175 For further resources related to this article, please visit the WIREs website.
Identifiers
What OpenQuestion holds
Registered trials
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.