Literature DB >> 18207485

Anisotropy of tolerance of perceptual completion at the blind spot.

Yukyu Araragi1, Sachio Nakamizo.   

Abstract

Three experiments examined anisotropies of tolerance of perceptual completion at the blind spot when a pair of line segments was presented on opposite sides of the blind spot. The tolerance of perceptual completion is defined as the maximum difference in a stimulus attribute between the line segments on opposite sides of the blind spot when perceptual completion of a line has occurred. The misalignment, orientation difference, and luminance difference between the line segments were used as the stimulus attributes in Experiments 1, 2, and 3, respectively. The results showed anisotropies of the tolerance of perceptual completion between horizontal and vertical configurations of the line segments. Vertical superiorities, which imply a greater extent of tolerance in the vertical configuration than that in the horizontal configuration, were observed for misalignment and orientation difference, while horizontal superiority, which implies a greater extent of tolerance in the horizontal configuration than that in the vertical configuration, was observed for luminance difference. We discussed possible origins of the anisotropy of the tolerance of perceptual completion at the blind spot.

Mesh:

Year:  2008        PMID: 18207485     DOI: 10.1016/j.visres.2007.12.001

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


  4 in total

1.  Anisotropies of linear and curvilinear completions at the blind spot.

Authors:  Yukyu Araragi
Journal:  Exp Brain Res       Date:  2011-06-16       Impact factor: 1.972

2.  Significance of Natural Scene Statistics in Understanding the Anisotropies of Perceptual Filling-in at the Blind Spot.

Authors:  Rajani Raman; Sandip Sarkar
Journal:  Sci Rep       Date:  2017-06-15       Impact factor: 4.379

3.  Did you see it? A Python tool for psychophysical assessment of the human blind spot.

Authors:  Xiao Ling; Edward H Silson; Robert D McIntosh
Journal:  PLoS One       Date:  2021-11-04       Impact factor: 3.240

4.  Predictive Coding: A Possible Explanation of Filling-In at the Blind Spot.

Authors:  Rajani Raman; Sandip Sarkar
Journal:  PLoS One       Date:  2016-03-09       Impact factor: 3.240

  4 in total

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