Literature DB >> 11000393

Perceptual learning in visual search generalizes over tasks, locations, and eyes.

R Sireteanu1, R Rettenbach.   

Abstract

In a visual search task, targets containing elementary features are detected in parallel, while a serial search is necessary for the detection of a target without a feature, or for targets containing conjunctions of features. In this study, we re-investigated the role of practice in visual search tasks, using an uncued visual search paradigm. Under some circumstances, initially serial tasks can become parallel with practice. Perceptual learning of feature search tasks is rapid (a few hundreds of trials are sufficient to transform serial into parallel search), long-lasting (a learned task is retained over several months), but far less specific than learning of other visual tasks (see also Sireteanu & Rettenbach, 1995a [Vision Research, 35, 2037-2043]). Learning transfers from one task to another, from one location in the visual field to another, and between the two eyes of a given subject, even if the subject has reduced stereopsis. Search for a conjunction of orientation and colour becomes more efficient, suggesting that a different search strategy emerges after prolonged practice. These results suggest that learning of visual search tasks modifies neural structures located at a high level in the visual pathway, involving different, presumably more central neural circuits, than the learning of visual discriminations and hyperacuity.

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Year:  2000        PMID: 11000393     DOI: 10.1016/s0042-6989(00)00145-0

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  27 in total

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Authors:  Susana T L Chung; Gordon E Legge; Sing-hang Cheung
Journal:  Vision Res       Date:  2004-03       Impact factor: 1.886

2.  Learning to identify contrast-defined letters in peripheral vision.

Authors:  Susana T L Chung; Dennis M Levi; Roger W Li
Journal:  Vision Res       Date:  2005-12-06       Impact factor: 1.886

3.  Identification of contrast-defined letters benefits from perceptual learning in adults with amblyopia.

Authors:  Susana T L Chung; Roger W Li; Dennis M Levi
Journal:  Vision Res       Date:  2006-08-22       Impact factor: 1.886

4.  Tactile guidance of prey capture in Etruscan shrews.

Authors:  Farzana Anjum; Hendrik Turni; Paul G H Mulder; Johannes van der Burg; Michael Brecht
Journal:  Proc Natl Acad Sci U S A       Date:  2006-10-23       Impact factor: 11.205

5.  Modelling attention in individual cells leads to a system with realistic saccade behaviours.

Authors:  Linda J Lanyon; Susan L Denham
Journal:  Cogn Neurodyn       Date:  2009-01-03       Impact factor: 5.082

6.  The effects of alphabet and expertise on letter perception.

Authors:  Robert W Wiley; Colin Wilson; Brenda Rapp
Journal:  J Exp Psychol Hum Percept Perform       Date:  2016-02-25       Impact factor: 3.332

7.  Learning efficient visual search for stimuli containing diagnostic spatial configurations and color-shape conjunctions.

Authors:  Eric A Reavis; Sebastian M Frank; Peter U Tse
Journal:  Atten Percept Psychophys       Date:  2018-07       Impact factor: 2.199

8.  Learning to identify crowded letters: does it improve reading speed?

Authors:  Susana T L Chung
Journal:  Vision Res       Date:  2007-10-24       Impact factor: 1.886

9.  Contributions of procedure and stimulus learning to early, rapid perceptual improvements.

Authors:  Jeanette A Ortiz; Beverly A Wright
Journal:  J Exp Psychol Hum Percept Perform       Date:  2009-02       Impact factor: 3.332

Review 10.  Exercising your brain: a review of human brain plasticity and training-induced learning.

Authors:  C S Green; D Bavelier
Journal:  Psychol Aging       Date:  2008-12
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