Literature DB >> 21149304

Perceptual learning, aging, and improved visual performance in early stages of visual processing.

George J Andersen1, Rui Ni, Jeffrey D Bower, Takeo Watanabe.   

Abstract

In the present study, we examined whether perceptual learning methods can be used to improve performance of older individuals. Subjects performed a texture discrimination task in the peripheral visual field and a letter discrimination task in central vision. The SOA threshold was derived by presenting a mask following the stimuli. Older subjects (age greater than 65 years) were either trained for 2 days using near threshold stimuli (experimental group) or were trained with the task with supra-threshold stimuli (older control group). The experimental group showed significant improvement in the task as a result of training whereas the older control group showed no significant improvement. The improved performance post-training equaled that of a younger control group and was maintained for at least 3 months. The results of two additional experiments indicate that the improved performance was not due to changes in divided attention, that the effect of perceptual learning was location specific, and that the pattern of learning was similar to that of younger subjects. These results indicate that perceptual learning with near threshold training can be used to improve visual performance among older individuals, that the improvements are not the result of practice with the visual task, and that the improvements do not transfer to non-trained locations.

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Year:  2010        PMID: 21149304      PMCID: PMC3136086          DOI: 10.1167/10.13.4

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  73 in total

1.  Aging and the perception of slant from optical texture, motion parallax, and binocular disparity.

Authors:  J Farley Norman; Charles E Crabtree; Ashley N Bartholomew; Elizabeth L Ferrell
Journal:  Atten Percept Psychophys       Date:  2009-01       Impact factor: 2.199

2.  Learning shapes the representation of visual categories in the aging human brain.

Authors:  Stephen D Mayhew; Sheng Li; Joshua K Storrar; Kamen A Tsvetanov; Zoe Kourtzi
Journal:  J Cogn Neurosci       Date:  2010-12       Impact factor: 3.225

3.  Maximum likelihood estimation: the best PEST.

Authors:  A Pentland
Journal:  Percept Psychophys       Date:  1980-10

4.  Some research needs in aging and visual perception.

Authors:  R Sekuler; D Kline; K Dismukes; A J Adams
Journal:  Vision Res       Date:  1983       Impact factor: 1.886

5.  Perceptual learning specific for orientation and spatial frequency.

Authors:  A Fiorentini; N Berardi
Journal:  Nature       Date:  1980-09-04       Impact factor: 49.962

6.  Assessing spatial vision of older people.

Authors:  R Sekuler; C Owsley; L Hutman
Journal:  Am J Optom Physiol Opt       Date:  1982-12

7.  Treatment of children with amblyopia by perceptual learning.

Authors:  Uri Polat; Tova Ma-Naim; Abraham Spierer
Journal:  Vision Res       Date:  2009-07-19       Impact factor: 1.886

8.  Location-specific cortical activation changes during sleep after training for perceptual learning.

Authors:  Yuko Yotsumoto; Yuka Sasaki; Patrick Chan; Christos E Vasios; Giorgio Bonmassar; Nozomi Ito; José E Náñez; Shinsuke Shimojo; Takeo Watanabe
Journal:  Curr Biol       Date:  2009-07-02       Impact factor: 10.834

9.  Reinforcement learning can account for associative and perceptual learning on a visual-decision task.

Authors:  Chi-Tat Law; Joshua I Gold
Journal:  Nat Neurosci       Date:  2009-04-19       Impact factor: 24.884

Review 10.  Perceptual learning as a potential treatment for amblyopia: a mini-review.

Authors:  Dennis M Levi; Roger W Li
Journal:  Vision Res       Date:  2009-02-27       Impact factor: 1.886

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  26 in total

Review 1.  Two-stage model in perceptual learning: toward a unified theory.

Authors:  Kazuhisa Shibata; Dov Sagi; Takeo Watanabe
Journal:  Ann N Y Acad Sci       Date:  2014-04-23       Impact factor: 5.691

Review 2.  Perceptual learning: toward a comprehensive theory.

Authors:  Takeo Watanabe; Yuka Sasaki
Journal:  Annu Rev Psychol       Date:  2014-09-10       Impact factor: 24.137

3.  Visual Acuity does not Moderate Effect Sizes of Higher-Level Cognitive Tasks.

Authors:  James R Houston; Ilana J Bennett; Philip A Allen; David J Madden
Journal:  Exp Aging Res       Date:  2016       Impact factor: 1.645

4.  Improving vision among older adults: behavioral training to improve sight.

Authors:  Denton J DeLoss; Takeo Watanabe; George J Andersen
Journal:  Psychol Sci       Date:  2015-03-06

5.  Aging, perceptual learning, and changes in efficiency of motion processing.

Authors:  Jeffrey D Bower; George J Andersen
Journal:  Vision Res       Date:  2011-07-23       Impact factor: 1.886

6.  Reduction in the retinotopic early visual cortex with normal aging and magnitude of perceptual learning.

Authors:  Li-Hung Chang; Yuko Yotsumoto; David H Salat; George J Andersen; Takeo Watanabe; Yuka Sasaki
Journal:  Neurobiol Aging       Date:  2014-08-27       Impact factor: 4.673

7.  Aging and the detection of imminent collisions under simulated fog conditions.

Authors:  Rui Ni; Zheng Bian; Amy Guindon; George J Andersen
Journal:  Accid Anal Prev       Date:  2012-04-10

8.  Different patterns of perceptual learning on spectral modulation detection between older hearing-impaired and younger normal-hearing adults.

Authors:  Andrew T Sabin; Cynthia A Clark; David A Eddins; Beverly A Wright
Journal:  J Assoc Res Otolaryngol       Date:  2012-12-11

9.  Aging and detection of collision events on curved trajectories.

Authors:  Zheng Bian; Amy H Guindon; George J Andersen
Journal:  Accid Anal Prev       Date:  2012-08-14

Review 10.  Aging and vision: changes in function and performance from optics to perception.

Authors:  George J Andersen
Journal:  Wiley Interdiscip Rev Cogn Sci       Date:  2012-02-16
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