Non-parametric Hierarchical Bayesian Modeling of the Learning Curve in Perceptual Learning

ZL Lu, Y Zhao, J Liu, B Dosher - Journal of Vision, 2023 - jov.arvojournals.org
The learning curve is a fundamental empirical measure of perceptual learning. Typically
constructed from contrast or difference thresholds estimated from blocks or sessions of …

Hierarchical Bayesian modeling of training accuracy and feedback interaction in perceptual learning

Y Zhao, J Liu, BA Dosher, ZL Lu - Journal of Vision, 2021 - jov.arvojournals.org
Based on an analysis of the block-by-block learning curves, Liu et al.(2010) found that,
although it was not necessary for perceptual learning at a high training accuracy, feedback …

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 …

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 …

Evaluating the functional form of perceptual learning with trial-by-trial analysis

Y Zhao, P Zhang, G Chen, J Yang, CB Huang… - Journal of …, 2020 - jov.arvojournals.org
The functional form of the learning curve is one of the fundamental characterizations of
perceptual learning. Dosher & Lu (2007) compared a number of functional forms for their …

Assessing the functions underlying learning using by-trial and by-participant models: Evidence from two visual perceptual learning paradigms

A Cochrane, CS Green - Journal of Vision, 2021 - jov.arvojournals.org
Inferred mechanisms of learning, such as those involved in improvements resulting from
perceptual training, are reliant on (and reflect) the functional forms that models of learning …

Augmented Hebbian learning accounts for the Eureka effect in perceptual learning

J Liu, ZL Lu, B Dosher - Journal of Vision, 2009 - jov.arvojournals.org
Previous analyses of the role of feedback have suggested that perceptual learning may be
accomplished through augmented Hebbian learning (Petrov, Dosher, & Lu, 2005; 2006) …

Augmented Hebbian learning hypothesis in perceptual learning: Interaction between feedback and training accuracy

J Liu, Z Lu, B Dosher - Journal of Vision, 2008 - jov.arvojournals.org
Previous analyses of the role of feedback have suggested that perceptual learning may be
accomplished through augmented Hebbian learning.(Petrov, Dosher, & Lu, 2005; Vaina et …

Augmented Hebbian reweighting: Interactions between feedback and training accuracy in perceptual learning

J Liu, ZL Lu, BA Dosher - Journal of vision, 2010 - jov.arvojournals.org
Feedback plays an interesting role in perceptual learning. The complex pattern of empirical
results concerning the role of feedback in perceptual learning rules out both a pure …

Identifying long-and short-term processes in perceptual learning

J Yang, FF Yan, L Chen, S Fan, Y Wu… - Psychological …, 2022 - journals.sagepub.com
Practice makes perfect in almost all perceptual tasks, but how perceptual improvements
accumulate remains unknown. Here, we developed a multicomponent theoretical framework …