This is a proposal for competitive renewal of the currently funded R01 grant entitled """"""""Systematic psychophysical investigation of visual learning"""""""". Visual perceptual learning (VPL) is regarded as a promising tool that can help clarify important aspects of visual and brain plasticity. Our long-term goal is to delineate general rules that govern VPL, and to gain a better understanding of the mechanisms of visual and brain plasticity. During the currently supported period, we have attained great success in clarifying the characteristics of perceptual and behavioral changes under VPL, often by examining how performance at or around a trained feature value is changed as a result of visual training. However, new serious controversies about the mechanisms of VPL have emerged. One controversy concerns the locus of VPL, or the visual and brain information processing stage that is changed in association with VPL. The other concerns how VPL with location specificity or transfer is developed during training. We will conduct systematic psychophysical research with the aim of building two separate but related models, each of which concerns where or how VPL is developed to resolve each of these controversies, so that these two models will be integrated to a unified model of VPL.
In Aim 1, we will attempt to resolve the controversy about the locus of VPL by developing a two-stage model that can account for both the findings that support low-level changes and those that support higher-level stages, without denying either evidence for the low-level or higher-level models. By conducting a variety of experiments with different types of tasks, stimuli and procedures, we will psychophysically test the validity of this two-stage model as well as existing models.
In Aim 2, we will attempt to resolve the second controversy. The reduction of the degree of location specificity by double training has exposed serious limitations in how existing models explain location specificity. Thus far, no theoretical model has been proposed that can clearly explain how location specificity occurs by single training, as well as how location specificity is weakened/eliminated by double training. Based on our recent finding of elimination of VPL followed by reactivation and our influential reinforcement model, we will build the reinforcement reactivation model that assumes that the elimination of location specificity after double training is due to a failure to reconsolidate location specific learning tat was reactivated by reinforcement signals. In a series of experiments, we will test the validity of this reinforcement reactivation model and other existing models. In both aims, results of experiments will also be used to further refine the proposed models to most suitably account for where and how VPL is developed. Examinations of these aims will help to achieve our long-term goal of clarifying general functional rules that govern VPL.

Public Health Relevance

The project systematically examines visual perceptual learning (VPL) using a unified psychophysical method to develop new models to resolve serious controversies in the research on VPL and to test the validity of these models and existing models. The current proposal investigates: how the conflict regarding which information processing stage is changed in association of VPL can be resolved and the question concerning how the specificity and transfer in VPL in different conditions occur can be answered. The resulting scientific knowledge may lead to improved diagnoses of, and rehabilitative therapies for, brain disorders and lesions, in particular those related to visual function.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
2R01EY019466-06A1
Application #
8578850
Study Section
Special Emphasis Panel (SPC)
Program Officer
Wiggs, Cheri
Project Start
2009-04-01
Project End
2014-08-31
Budget Start
2013-09-01
Budget End
2014-08-31
Support Year
6
Fiscal Year
2013
Total Cost
$406,250
Indirect Cost
$156,250
Name
Brown University
Department
Miscellaneous
Type
Schools of Arts and Sciences
DUNS #
001785542
City
Providence
State
RI
Country
United States
Zip Code
02912
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Watanabe, Takeo; Sasaki, Yuka; Shibata, Kazuhisa et al. (2018) Advances in fMRI Real-Time Neurofeedback: (Trends in Cognitive Sciences 21, 997-1010, 2017). Trends Cogn Sci 22:738
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Shibata, Kazuhisa; Sasaki, Yuka; Bang, Ji Won et al. (2017) Overlearning hyperstabilizes a skill by rapidly making neurochemical processing inhibitory-dominant. Nat Neurosci 20:470-475
Sasaki, Yuka; Watanabe, Takeo (2017) When perceptual learning occurs. Nat Hum Behav 1:
Watanabe, Takeo; Sasaki, Yuka; Shibata, Kazuhisa et al. (2017) Advances in fMRI Real-Time Neurofeedback. Trends Cogn Sci 21:997-1010
Shibata, Kazuhisa; Sasaki, Yuka; Bang, Ji Won et al. (2017) Corrigendum: Overlearning hyperstabilizes a skill by rapidly making neurochemical processing inhibitory-dominant. Nat Neurosci 20:1427
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Yahata, Noriaki; Morimoto, Jun; Hashimoto, Ryuichiro et al. (2016) A small number of abnormal brain connections predicts adult autism spectrum disorder. Nat Commun 7:11254
Sasaki, Yuka; Watanabe, Takeo (2016) V3A takes over a job of MT+ after training on a visual task. Proc Natl Acad Sci U S A 113:6092-3

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