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Vision Sciences Society Annual Meeting Abstract September 2024

Identifying Component Processes in Perceptual Learning with Non-parametric Bayesian Modeling of the Learning Curve in a Yes-No task with Method of Constant Stimuli

Yukai Zhao; Jia Yang; Fang-Fang Yan; Chang-Bing Huang; Barbara Anne Dosher; Zhong-Lin Lu

Journal of Vision. 2024; 24(10):750. https://doi.org/10.1167/jov.24.10.750

Vision Sciences Society Annual Meeting Abstract September 2024

Hierarchical Gaussian Process Model for Human Retinotopic Mapping

Sebastian Waz; Yalin Wang; Zhong-Lin Lu

Journal of Vision. 2024; 24(10):593. https://doi.org/10.1167/jov.24.10.593

Vision Sciences Society Annual Meeting Abstract September 2024

Learning and transfer between different external noise levels in orientation perceptual learning

Jiajuan Liu; Zhong-Lin Lu; Barbara Dosher

Journal of Vision. 2024; 24(10):363. https://doi.org/10.1167/jov.24.10.363

Vision Sciences Society Annual Meeting Abstract September 2024

Hierarchical Bayesian Augmented Hebbian Reweighting Model of Perceptual Learning

Zhong-Lin Lu; Shanglin Yang; Barbara Dosher

Journal of Vision. 2024; 24(10):325. https://doi.org/10.1167/jov.24.10.325

Vision Sciences Society Annual Meeting Abstract September 2024

Visual Inputs Reconstructing through Enhanced 3T fMRI Data from Optimal Transport Guided Generative Adversarial Network

Yujian Xiong; Wenhui Zhu; Yalin Wang; Zhong-Lin Lu

Journal of Vision. 2024; 24(10):1478. https://doi.org/10.1167/jov.24.10.1478

Vision Sciences Society Annual Meeting Abstract September 2024

Single object attention narrows the perceptual template, improves external noise exclusion and enhances the stimulus relative to dual object attention

Barbara Dosher; Songmei Han; Zhong-Lin Lu

Journal of Vision. 2024; 24(10):1265. https://doi.org/10.1167/jov.24.10.1265

Vision Sciences Society Annual Meeting Abstract September 2024

Diffeomorphic Registration Enhances Retinotopic Mapping in 3T

Negar Jalili Mallak; Zhong-Lin Lu; Yalin Wang

Journal of Vision. 2024; 24(10):1057. https://doi.org/10.1167/jov.24.10.1057

Artificial Intelligence September 2024

A Novel Artificial Intelligence-Based Classification of Highly Myopic Eyes Based on Visual Function and Fundus Features

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Jiaqi Meng; Yunxiao Song; Wenwen He; Zhong-Lin Lu; Yuxi Chen; Ling Wei; Keke Zhang; Jiao Qi; Yu Du; Yi Lu; Xiangjia Zhu
TAGS: eye, myopia, vision, intelligence
Trans. Vis. Sci. Tech.. 2024; 13(9):12. https://doi.org/10.1167/tvst.13.9.12

Includes: Supplemental Content

Article June 2024

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

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Jiajuan Liu; Zhong-Lin Lu; Barbara Dosher
TAGS: spatial frequency, transfer technique, training, learning, perceptual learning
Journal of Vision. 2024; 24(6):17. https://doi.org/10.1167/jov.24.6.17

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2024

Quantifying the Functional Relationship between Visual Acuity and Contrast Sensitivity Function

Zhong-Lin Lu; Yukai Zhao; Luis A Lesmes; Michael Dorr

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5456.

ARVO Annual Meeting Abstract June 2024

Reducing Test-Retest Variability of the E-ETDRS Test with Hierarchical Bayesian Modeling

Yukai Zhao; Luis A Lesmes; Michael Dorr; Zhong-Lin Lu

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5463.

Methods May 2024

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

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Yukai Zhao; Jiajuan Liu; Barbara Anne Dosher; Zhong-Lin Lu
TAGS: learning, perceptual learning, training, temporal resolution
Journal of Vision. 2024; 24(5):8. https://doi.org/10.1167/jov.24.5.8

Includes: Supplemental Content

Eye Movements, Strabismus, Amblyopia and Neuro-ophthalmology May 2024

Novel Quantitative Contrast Sensitivity Function Enhances the Prediction of Treatment Outcome and Recurrence in Amblyopia

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Jing Liu; Chencui Huang; Susan A. Cotter; Lily Y. L. Chan; Yizhou Yu; Yu Jia; Qingqing Ye; Lei Feng; Ying Yao; Rengang Jiang; Chutong Xiao; Zixuan Xu; Yijing Zhuang; Yunsi He; Yusong Zhou; Xiaolan Chen; Junpeng Yuan; Yun Wen; Wentong Yu; Yangfei Pang; Zhong-Lin Lu; Benjamin Thompson; Jinrong Li
TAGS: amblyopia, contrast sensitivity, recurrence, treatment outcome
Invest. Ophthalmol. Vis. Sci.. 2024; 65(5):31. https://doi.org/10.1167/iovs.65.5.31

Includes: Supplemental Content

Eye Movements, Strabismus, Amblyopia and Neuro-ophthalmology January 2024

Binocular Summation With Quantitative Contrast Sensitivity Function: A Novel Parameter to Evaluate Binocular Function in Intermittent Exotropia

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Xiaolan Chen; Jing Liu; Zixuan Xu; Yijing Zhuang; Yusong Zhou; Yunsi He; Ying Yao; Junpeng Yuan; Lei Feng; Qingqing Ye; Yun Wen; Yu Jia; Zhong-Lin Lu; Xiaoming Lin; Jinrong Li
TAGS: contrast sensitivity, intermittent exotropia, strabismus, summation, surgical procedures, operative, surgery specialty, spatial frequency, questionnaires
Invest. Ophthalmol. Vis. Sci.. 2024; 65(1):3. https://doi.org/10.1167/iovs.65.1.3

Includes: Supplemental Content

Vision Sciences Society Annual Meeting Abstract August 2023

Evaluating the performance of Bayesian adaptive qReading in low vision

Deyue Yu; Zhong-Lin Lu

Journal of Vision. 2023; 23(9):5384. https://doi.org/10.1167/jov.23.9.5384

Vision Sciences Society Annual Meeting Abstract August 2023

Delayed feedback limits performance improvements in orientation perceptual learning

Jiajuan Liu; Zhong-Lin Lu; Barbara Dosher

Journal of Vision. 2023; 23(9):5337. https://doi.org/10.1167/jov.23.9.5337

Vision Sciences Society Annual Meeting Abstract August 2023

Non-parametric Hierarchical Bayesian Modeling of the Contrast Sensitivity Function

Yukai Zhao; Luis Andres Lesmes; Michael Dorr; Zhong-Lin Lu

Journal of Vision. 2023; 23(9):5312. https://doi.org/10.1167/jov.23.9.5312

Vision Sciences Society Annual Meeting Abstract August 2023

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

Zhong-Lin Lu; Yukai Zhao; Jiajuan Liu; Barbara Dosher

Journal of Vision. 2023; 23(9):5752. https://doi.org/10.1167/jov.23.9.5752

Methods June 2023

Collective endpoint of visual acuity and contrast sensitivity function from hierarchical Bayesian joint modeling

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Yukai Zhao; Luis Andres Lesmes; Michael Dorr; Zhong-Lin Lu
TAGS: contrast sensitivity, eye, visual acuity, specificity of diagnostic test, inference, heterogeneity of variance, datasets
Journal of Vision. 2023; 23(6):13. https://doi.org/10.1167/jov.23.6.13

Includes: Supplemental Content

Article June 2023

Learning spatial frequency identification through reweighted decoding

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Barbara Dosher; Jiajuan Liu; Zhong-Lin Lu
TAGS: confusion, learning, perceptual learning, spatial frequency, noise, training
Journal of Vision. 2023; 23(6):3. https://doi.org/10.1167/jov.23.6.3

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Identifying Component Processes in Perceptual Learning with Non-parametric Bayesian Modeling of the Learning Curve in a Yes-No task with Method of Constant Stimuli

Hierarchical Gaussian Process Model for Human Retinotopic Mapping

Learning and transfer between different external noise levels in orientation perceptual learning

Hierarchical Bayesian Augmented Hebbian Reweighting Model of Perceptual Learning

Visual Inputs Reconstructing through Enhanced 3T fMRI Data from Optimal Transport Guided Generative Adversarial Network

Single object attention narrows the perceptual template, improves external noise exclusion and enhances the stimulus relative to dual object attention

Diffeomorphic Registration Enhances Retinotopic Mapping in 3T

A Novel Artificial Intelligence-Based Classification of Highly Myopic Eyes Based on Visual Function and Fundus Features

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

Quantifying the Functional Relationship between Visual Acuity and Contrast Sensitivity Function

Reducing Test-Retest Variability of the E-ETDRS Test with Hierarchical Bayesian Modeling

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

Novel Quantitative Contrast Sensitivity Function Enhances the Prediction of Treatment Outcome and Recurrence in Amblyopia

Binocular Summation With Quantitative Contrast Sensitivity Function: A Novel Parameter to Evaluate Binocular Function in Intermittent Exotropia

Evaluating the performance of Bayesian adaptive qReading in low vision

Delayed feedback limits performance improvements in orientation perceptual learning

Non-parametric Hierarchical Bayesian Modeling of the Contrast Sensitivity Function

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

Collective endpoint of visual acuity and contrast sensitivity function from hierarchical Bayesian joint modeling

Learning spatial frequency identification through reweighted decoding

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