Literature DB >> 9893818

Learning pop-out detection: building representations for conflicting target-distractor relationships.

M Ahissar1, R Laiwand, G Kozminsky, S Hochstein.   

Abstract

Studies of perceptual learning consistently found that improvement is stimulus specific. These findings were interpreted as indicating an early cortical learning site. In line with this interpretation, we consider two alternative hypotheses: the 'earliest modification' and the 'output-level modification' assumptions, which respectively assume that learning occurs within the earliest representation which is selective for the trained stimuli, or at cortical levels receiving its output. We studied performance in a pop-out task using light bar distractor elements of one orientation, and a target element rotated by 30 degrees (or 90 degrees). We tested the alternative hypotheses by examining pop-out learning through an initial training phase, a subsequent learning stage with swapped target and distracted orientations, and a final re-test with the originally trained stimuli. We found learning does not transfer across orientation swapping. However, following training with swapped orientations, a similar performance level is reached as with original orientations. That is, learning neither facilitates nor interferes to a substantial degree with subsequent performance with altered stimuli. Furthermore, this re-training does not hamper performance with the original trained stimuli. If training changed the earliest orientation selective representation (specializing it for performance of the particular performed task) it would necessarily affect performance with swapped orientations, as well. The co-existence of similar asymptotes for apparently conflicting stimulus sets refutes the 'earliest modification' hypothesis, supporting the alternative 'output level modification' hypothesis. We conclude that secondary cortical processing levels use outputs from the earliest orientation representation to compute higher order structures, promoting and improving successful task performance.

Entities:  

Mesh:

Year:  1998        PMID: 9893818     DOI: 10.1016/s0042-6989(97)00449-5

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


  12 in total

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2.  Perceptual learning of line orientation modifies the effects of transcranial magnetic stimulation of visual cortex.

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Review 3.  Visual perceptual learning.

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4.  Hebbian Reweighting on Stable Representations in Perceptual Learning.

Authors:  Barbara Anne Dosher; Zhong-Lin Lu
Journal:  Learn Percept       Date:  2009-06-01

5.  Perceptual learning produces perceptual objects.

Authors:  Michael J Wenger; Stephanie E Rhoten
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6.  Perceptual learning and human expertise.

Authors:  Philip J Kellman; Patrick Garrigan
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7.  Compensatory strategies following visual search training in patients with homonymous hemianopia: an eye movement study.

Authors:  Sabira K Mannan; Alidz L M Pambakian; Christopher Kennard
Journal:  J Neurol       Date:  2010-06-16       Impact factor: 4.849

8.  Perceptual learning modules in mathematics: enhancing students' pattern recognition, structure extraction, and fluency.

Authors:  Philip J Kellman; Christine M Massey; Ji Y Son
Journal:  Top Cogn Sci       Date:  2009-10-30

9.  Perceptual learning and attention: Reduction of object attention limitations with practice.

Authors:  Barbara Anne Dosher; Songmei Han; Zhong-Lin Lu
Journal:  Vision Res       Date:  2009-09-29       Impact factor: 1.886

10.  Stimulus coding rules for perceptual learning.

Authors:  Jun-Yun Zhang; Shu-Guang Kuai; Lu-Qi Xiao; Stanley A Klein; Dennis M Levi; Cong Yu
Journal:  PLoS Biol       Date:  2008-08-12       Impact factor: 8.029

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