ArticleJournal of vision2019
Assessing the detailed time course of perceptual sensitivity change in perceptual learning.
Article in Journal of vision, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Perceptual training selectively strengthens top-down signaling to sensory cortex.bioRxiv : the preprint server for biology · 2026Article
- Enabling identification of component processes in perceptual learning with nonparametric hierarchical Bayesian modeling.Journal of vision · 2024Article
- The time course of stimulus-specific perceptual learning.Journal of vision · 2024Article
- Estimating the Trial-by-Trial Learning Curve in Perceptual Learning with Hierarchical Bayesian Modeling.Research square · 2023Article
- Gender Differences in Mental Rotational Training Based on Computer Adaptive Tests.Behavioral sciences (Basel, Switzerland) · 2023Article
- Working memory is supported by learning to represent items as actions.Attention, perception & psychophysics · 2023Article
- Multiple timescales of learning indicated by changes in evidence-accumulation processes during perceptual decision-making.NPJ science of learning · 2023Article
- Learning spatial frequency identification through reweighted decoding.Journal of vision · 2023Article
- Repetition learning is neither a continuous nor an implicit process.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Current directions in visual perceptual learning.Nature reviews psychology · 2022Article
- Identifying Long- and Short-Term Processes in Perceptual Learning.Psychological science · 2022Article
- Long-term training reduces the responses to the sound-induced flash illusion.Attention, perception & psychophysics · 2022Article
- The effect of initial performance on motion perception improvements is modulated by training method.Attention, perception & psychophysics · 2022Article
- Assessing the functions underlying learning using by-trial and by-participant models: Evidence from two visual perceptual learning paradigms.Journal of vision · 2021Article
- Psychophysical Validation of a Novel Active Learning Approach for Measuring the Visual Acuity Behavioral Function.Translational vision science & technology · 2021Article
- Roving: The causes of interference and re-enabled learning in multi-task visual training.Journal of vision · 2020Article
- Perceptual Learning at Higher Trained Cutoff Spatial Frequencies Induces Larger Visual Improvements.Frontiers in psychology · 2020Article
- Mapping the Contrast Sensitivity of the Visual Field With Bayesian Adaptive qVFM.Frontiers in neuroscience · 2020Article
- Evaluating the performance of the staircase and quick Change Detection methods in measuring perceptual learning.Journal of vision · 2019Article
- Assessing the detailed time course of perceptual sensitivity change in perceptual learning.Journal of vision · 2019Article
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4 authors.
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Abstract
The learning curve in perceptual learning is typically sampled in blocks of trials, which could result in imprecise and possibly biased estimates, especially when learning is rapid. Recently, Zhao, Lesmes, and Lu (2017, 2019) developed a Bayesian adaptive quick Change Detection (qCD) method to accurately, precisely, and efficiently assess the time course of perceptual sensitivity change. In this study, we implemented and tested the qCD method in assessing the learning curve in a four-alternative forced-choice global motion direction identification task in both simulations and a psychophysical experiment. The stimulus intensity in each trial was determined by the qCD, staircase or random stimulus selection (RSS) methods. Simulations showed that the accuracy (bias) and precision (standard deviation or confidence bounds) of the estimated learning curves from the qCD were much better than those obtained by the staircase and RSS method; this is true for both trial-by-trial and post hoc segment-by-segment qCD analyses. In the psychophysical experiment, the average half widths of the 68.2% credible interval of the estimated thresholds from the trial-by-trial and post hoc segment-by-segment qCD analyses were both quite small. Additionally, the overall estimates from the qCD and staircase methods matched extremely well in this task where the behavioral rate of learning is relatively slow. Our results suggest that the qCD method can precisely and accurately assess the trial-by-trial time course of perceptual learning.
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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.