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Jiajuan Liu
Jiajuan Liu
Dirección de correo verificada de uci.edu
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An integrated reweighting theory of perceptual learning
BA Dosher, P Jeter, J Liu, ZL Lu
Proceedings of the National Academy of Sciences 110 (33), 13678-13683, 2013
1752013
Modeling mechanisms of perceptual learning with augmented Hebbian re-weighting
ZL Lu, J Liu, BA Dosher
Vision research 50 (4), 375-390, 2010
802010
Mixed training at high and low accuracy levels leads to perceptual learning without feedback
J Liu, ZL Lu, BA Dosher
Vision research 61, 15-24, 2012
532012
Modeling trial by trial and block feedback in perceptual learning
J Liu, B Dosher, ZL Lu
Vision Research 99, 46-56, 2014
422014
Augmented Hebbian reweighting accounts for accuracy and induced bias in perceptual learning with reverse feedback
J Liu, BA Dosher, ZL Lu
Journal of vision 15 (10), 10-10, 2015
212015
Roving: The causes of interference and re-enabled learning in multi-task visual training
BA Dosher, J Liu, W Chu, ZL Lu
Journal of Vision 20 (6), 9-9, 2020
132020
Multi-location augmented Hebbian re-weighting accounts for transfer of perceptual learning following double training
J Liu, ZL Lu, B Dosher
Journal of Vision 11 (11), 992-992, 2011
72011
Augmented Hebbian learning accounts for the complex pattern of effects of feedback in perceptual learning
J Liu, Z Lu, B Dosher
Journal of Vision 10 (7), 1115-1115, 2010
52010
Augmented Hebbian learning accounts for the Eureka effect in perceptual learning
J Liu, ZL Lu, B Dosher
Journal of Vision 9 (8), 851-851, 2009
42009
Modeling perceptual learning in external noise with Hebbian reweighting
ZL Lu, J Liu, B Dosher
Journal of Vision 9 (8), 863-863, 2009
32009
Augmented Hebbian learning hypothesis in perceptual learning: Interaction between feedback and training accuracy
J Liu, Z Lu, B Dosher
Journal of Vision 8 (6), 1124-1124, 2008
32008
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, 1-18, 2024
22024
Informational feedback accelerates learning in multi-alternative perceptual judgements of orientation
J Liu, ZL Lu, B Dosher
Vision Research 213, 108318, 2023
22023
Learning spatial frequency identification through reweighted decoding
B Dosher, J Liu, ZL Lu
Journal of vision 23 (6), 3-3, 2023
22023
Hierarchical Bayesian modeling of training accuracy and feedback interaction in perceptual learning
Y Zhao, J Liu, BA Dosher, ZL Lu
Journal of Vision 21 (9), 2214-2214, 2021
22021
Similar perceptual learning in 10-alternative letter identification in external noise with and without feedback supervision
J Liu, Z Lu, B Dosher
Journal of Vision 20 (11), 1237-1237, 2020
22020
Perceptual learning in n-alternative forced choice with response and accuracy feedback, and a reweighting model.
J Liu, B Dosher, ZL Lu
Journal of Vision 17 (10), 1078-1078, 2017
22017
Perceptual learning of task mixtures
B Dosher, W Chu, J Liu, ZL Lu
Journal of Vision 12 (9), 767-767, 2012
22012
Non-parametric Hierarchical Bayesian Modeling of the Learning Curve in Perceptual Learning
ZL Lu, Y Zhao, J Liu, B Dosher
Journal of Vision 23 (9), 5752-5752, 2023
12023
Multi-location, two-interval paradigms can overcome roving costs–an explanation of Xie & Yu (2020) data by an extended Integrating Reweighting Theory (IRT)
J Liu, ZL Lu, B Dosher
Journal of Vision 21 (9), 2264-2264, 2021
12021
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Artículos 1–20