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Co-learning analysis of two perceptual learning tasks with identical input stimuli supports the reweighting hypothesis
Huang, Chang-Bing3,4; Lu, Zhong-Lin1,3; Dosher, Barbara A.2; Lu, ZL (reprint author), Ohio State Univ, Dept Psychol, Lab Brain Proc LOBES, 1835 Neil Ave, Columbus, OH 43210 USA.
2012-05-15
Source PublicationVISION RESEARCH
ISSN0042-6989
SubtypeArticle
Volume61Issue:0Pages:25-32
Contribution Rank3
AbstractPerceptual learning, even when it exhibits significant specificity to basic stimulus features such as retinal location or spatial frequency, may cause discrimination performance to improve either through enhancement of early sensory representations or through selective re-weighting of connections from the sensory representations to specific responses, or both. For most experiments in the literature, the two forms of plasticity make similar predictions (Dosher & Lu, 2009; Petrov, Dosher, & Lu, 2005). The strongest test of the two hypotheses must use training and transfer tasks that rely on the same sensory representation with different task-dependent decision structures. If training changes sensory representations, transfer (or interference) must occur since the (changed) sensory representations are common. If instead training re-weights a separate set of task connections to decision, then performance in the two tasks may still be independent. Here, we performed a co-learning analysis of two perceptual learning tasks based on identical input stimuli, following a very interesting study of Fahle and Morgan (1996) who used nearly identical input stimuli (a three dot pattern) in training bisection and vernier tasks. Two important modifications were made: (1) identical input stimuli were used in the two tasks, and (2) subjects practiced both tasks in multiple alternating blocks (800 trials/block). Two groups of subjects with counterbalanced order of training participated in the experiments. We found significant and independent learning of the two tasks. The pattern of results is consistent with the reweighting hypothesis of perceptual learning. (C) 2011 Elsevier Ltd. All rights reserved.
KeywordPerceptual learning Vernier Bisection Representation enhancement Selective reweighting
Subject AreaCognitive Psychology
Indexed BySCI
Language英语
Funding OrganizationNEI
Project Intro.This research was supported by NEI. There are no competing interests on the research.
WOS IDWOS:000304631600004
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Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/11445
Collection中国科学院行为科学重点实验室
Corresponding AuthorLu, ZL (reprint author), Ohio State Univ, Dept Psychol, Lab Brain Proc LOBES, 1835 Neil Ave, Columbus, OH 43210 USA.
Affiliation1.Ohio State Univ, Dept Psychol, Lab Brain Proc LOBES, Columbus, OH 43210 USA
2.Univ Calif Irvine, Dept Cognit Sci, Irvine, CA 92697 USA
3.Univ So Calif, Dept Psychol, Lab Brain Proc LOBES, Los Angeles, CA 90089 USA
4.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Huang, Chang-Bing,Lu, Zhong-Lin,Dosher, Barbara A.,et al. Co-learning analysis of two perceptual learning tasks with identical input stimuli supports the reweighting hypothesis[J]. VISION RESEARCH,2012,61(0):25-32.
APA Huang, Chang-Bing,Lu, Zhong-Lin,Dosher, Barbara A.,&Lu, ZL .(2012).Co-learning analysis of two perceptual learning tasks with identical input stimuli supports the reweighting hypothesis.VISION RESEARCH,61(0),25-32.
MLA Huang, Chang-Bing,et al."Co-learning analysis of two perceptual learning tasks with identical input stimuli supports the reweighting hypothesis".VISION RESEARCH 61.0(2012):25-32.
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