ArticleVision research2019
Efficient assessment of the time course of perceptual sensitivity change.
Article in Vision research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Enabling identification of component processes in perceptual learning with nonparametric hierarchical Bayesian modeling.Journal of vision · 2024Article
- Estimating the Trial-by-Trial Learning Curve in Perceptual Learning with Hierarchical Bayesian Modeling.Research square · 2023Article
- The Random Step Method for Measuring the Point of Subjective Equality.Vision (Basel, Switzerland) · 2023Article
- Current directions in visual perceptual learning.Nature reviews psychology · 2022Article
- Psychophysical Validation of a Novel Active Learning Approach for Measuring the Visual Acuity Behavioral Function.Translational vision science & technology · 2021Article
- Mapping the Contrast Sensitivity of the Visual Field With Bayesian Adaptive qVFM.Frontiers in neuroscience · 2020Article
- Perceptual Learning at Higher Trained Cutoff Spatial Frequencies Induces Larger Visual Improvements.Frontiers in psychology · 2020Article
- A novel Bayesian adaptive method for mapping the visual field.Journal of vision · 2019Article
- 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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Authors and funding
3 authors.
Funding
Abstract
Perceptual sensitivity is usually estimated over trials and time intervals, which results in imprecise and biased estimates when it changes rapidly over time. We develop a novel procedure, the quick Change-Detection (qCD) method, to accurately, precisely, and efficiently assess the trial-by-trial time course of perceptual sensitivity change. Based on Bayesian adaptive testing, qCD selects the optimal stimulus, and updates, trial by trial, a joint probability distribution of the parameters that quantify perceptual sensitivity change over time. We demonstrate the utility of the method in measuring the time course of dark adaptation. Simulations showed that the accuracy and precision of the estimated dark adaptation curve after one qCD run (root mean squared error (RMSE): 0.002; the half width of the 68.2% credible interval (HWCI): 0.016; standard deviation (SD): 0.020; all in log
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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.