Current directions in visual perceptual learning

ZL Lu, BA Dosher - Nature reviews psychology, 2022 - nature.com
The visual expertise of adult humans is jointly determined by evolution, visual development
and visual perceptual learning. Perceptual learning refers to performance improvements in …

Adaptive design optimization as a promising tool for reliable and efficient computational fingerprinting

M Kwon, SH Lee, WY Ahn - Biological Psychiatry: Cognitive Neuroscience …, 2023 - Elsevier
A key challenge in understanding mental (dys) functions is their etiological and functional
heterogeneity, and several multidimensional assessments have been proposed for their …

[HTML][HTML] Assessing the detailed time course of perceptual sensitivity change in perceptual learning

P Zhang, Y Zhao, BA Dosher, ZL Lu - Journal of Vision, 2019 - jov.arvojournals.org
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 …

[HTML][HTML] A novel Bayesian adaptive method for mapping the visual field

P Xu, LA Lesmes, D Yu, ZL Lu - Journal of Vision, 2019 - iovs.arvojournals.org
Measuring visual functions such as light and contrast sensitivity, visual acuity, reading
speed, and crowding across retinal locations provides visual-field maps (VFMs) that are …

Estimating the Trial-by-Trial Learning Curve in Perceptual Learning with Hierarchical Bayesian Modeling

Y Zhao, J Liu, BA Dosher, ZL Lu - Journal of Cognitive Enhancement, 2024 - Springer
The learning curve serves as a crucial metric for assessing human performance in
perceptual learning. It may encompass various component processes, including general …

[HTML][HTML] Evaluating the performance of the staircase and quick Change Detection methods in measuring perceptual learning

P Zhang, Y Zhao, BA Dosher, ZL Lu - Journal of Vision, 2019 - jov.arvojournals.org
The staircase method has been widely used in measuring perceptual learning. Recently,
Zhao, Lesmes, and Lu (2017, 2019) developed the quick Change Detection (qCD) method …

[HTML][HTML] Enabling identification of component processes in perceptual learning with nonparametric hierarchical Bayesian modeling

Y Zhao, J Liu, BA Dosher, ZL Lu - Journal of Vision, 2024 - jov.arvojournals.org
Perceptual learning is a multifaceted process, encompassing general learning, between-
session forgetting or consolidation, and within-session fast relearning and deterioration. The …

[HTML][HTML] Perceptual learning at higher trained cutoff spatial frequencies induces larger visual improvements

D Wu, P Zhang, C Li, N Liu, W Jia, G Chen… - Frontiers in …, 2020 - frontiersin.org
It is well known that extensive practice of a perceptual task can improve visual performance,
termed perceptual learning. The goal of the present study was to evaluate the dependency …

[HTML][HTML] Psychophysical validation of a novel active learning approach for measuring the visual acuity behavioral function

Y Zhao, LA Lesmes, M Dorr, PJ Bex… - … vision science & …, 2021 - jov.arvojournals.org
Purpose: To evaluate the performance of the quantitative visual acuity (qVA) method in
measuring the visual acuity (VA) behavioral function. Methods: We evaluated qVA …

[HTML][HTML] The Random Step Method for Measuring the Point of Subjective Equality

P Wang, A Reynaud - Vision, 2023 - mdpi.com
Points of Subjective Equality (PSE) are commonly measured using staircase or constant
stimuli methods. However, the staircase method is highly dependent on the step size, and …