Modeling perceptual learning as a continuous function of time-on-task increases theoretical specificity and statistical power

A Cochrane, ZL Lu, CS Green - Journal of Cognitive Enhancement, 2024 - Springer
Drawing inferences from data relies on satisfying the assumptions of analytical methods.
Yet, the study of many psychological processes that involve change over time (eg, learning) …

11 Perceptual Learning: Learning, Memory, and Models

BA Dosher, ZL Lu - The Oxford Handbook of Human Memory …, 2024 - books.google.com
Experience significantly influences how sensory stimuli are processed and the quality of
sensory-based decisions and human performance. This is true for all sensory modalities …

Profiles of visual perceptual learning in feature space

S Shen, Y Sun, J Lu, C Li, Q Chen, C Mo, F Fang… - Iscience, 2024 - cell.com
Visual perceptual learning (VPL), experience-induced gains in discriminating visual
features, has been studied extensively and intensively for many years, its profile in feature …

[HTML][HTML] Asymmetric stimulus representations bias visual perceptual learning

P Laamerad, A Awada, CC Pack, S Bakhtiari - Journal of Vision, 2024 - tvst.arvojournals.org
The primate visual cortex contains various regions that exhibit specialization for different
stimulus properties, such as motion, shape, and color. Within each region, there is often …

Decision-making processes in perceptual learning depend on effectors

V Ivanov, GL Manenti, SS Plewe, I Kagan… - Scientific Reports, 2024 - nature.com
Visual perceptual learning is traditionally thought to arise in visual cortex. However, typical
perceptual learning tasks also involve systematic mapping of visual information onto motor …

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 …

[HTML][HTML] Light and vision inside the Tomba degli Hescanas, Orvieto (Porano), 350–325 BCE

JK Ortoleva - Journal of Archaeological Science: Reports, 2024 - Elsevier
Etruscan painted tombs provide the most well-preserved corpus of figurative wall paintings
in the ancient Mediterranean. Today, Etruscan painted tombs remain largely understood …

Transfer of visual perceptual learning over a task-irrelevant feature through feature-invariant representations: Behavioral experiments and model simulations

J Liu, ZL Lu, B Dosher - Journal of Vision, 2024 - jov.arvojournals.org
A large body of literature has examined specificity and transfer of perceptual learning,
suggesting a complex picture. Here, we distinguish between transfer over variations in a …

A Promising Automatic System for studying of Coal Mine Surfaces using Sentinel-2 Data to Assess a Classification on a Pixel-based Pattern

A Kumar - Journal of Mining and Environment, 2024 - jme.shahroodut.ac.ir
Land use (LU) classification based on remote sensing images is a challenging task that can
be effectively addressed using a learning framework. However, accurately classifying pixels …