Literature DB >> 11704236

Texture fading correlates with stimulus salience.

F Stürzel1, L Spillmann.   

Abstract

Perceptual fading of texture targets on similarly textured backgrounds was studied in relation to stimulus salience using texture patterns defined by orientation contrast, shape contrast, and order contrast. In two independent experiments, perceptual salience of the targets was determined. In the first, the textural contrast of the stimuli was varied and their salience quantified using magnitude estimation; in the second, reaction time was measured for the same stimulus patterns. In a third experiment, stimulus fading time was determined. Whereas magnitude estimates and fading time increased, reaction time decreased with increasing textural contrast strength, the shape of the curves depending on the kind of texture pattern used. When fading time was plotted against target salience, the slopes of the regression lines for shape and order contrast were similar, while the slope for orientation contrast was steeper, indicating longer fading times at equal stimulus salience. A control experiment using short oriented bars instead of gratings revealed that this difference may be attributed to the abutting contour between the target and its surround. With this contour removed, the fading time was largely the same for all three kinds of texture patterns. In the absence of a border (no cancellation), the unconnected target areas appeared to change gradually in orientation, shape, and spatial arrangement, thereby assuming the properties of the background (substitution).

Mesh:

Year:  2001        PMID: 11704236     DOI: 10.1016/s0042-6989(01)00172-9

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


  9 in total

1.  Is neural filling-in necessary to explain the perceptual completion of motion and depth information?

Authors:  Andrew E Welchman; Julie M Harris
Journal:  Proc Biol Sci       Date:  2003-01-07       Impact factor: 5.349

2.  Contrast magnitude and polarity effects on color filling-in along cardinal color axes.

Authors:  Xiaohua Zhuang; Dingcai Cao
Journal:  J Vis       Date:  2013-06-28       Impact factor: 2.240

3.  "Brain-reading" of perceived colors reveals a feature mixing mechanism underlying perceptual filling-in in cortical area V1.

Authors:  Po-Jang Hsieh; Peter U Tse
Journal:  Hum Brain Mapp       Date:  2010-09       Impact factor: 5.038

Review 4.  A new taxonomy for perceptual filling-in.

Authors:  Rimona S Weil; Geraint Rees
Journal:  Brain Res Rev       Date:  2010-11-05

5.  Motion-induced blindness and Troxler fading: common and different mechanisms.

Authors:  Yoram S Bonneh; Tobias H Donner; Alexander Cooperman; David J Heeger; Dov Sagi
Journal:  PLoS One       Date:  2014-03-21       Impact factor: 3.240

Review 6.  Flexible contextual modulation of naturalistic texture perception in peripheral vision.

Authors:  Daniel Herrera-Esposito; Ruben Coen-Cagli; Leonel Gomez-Sena
Journal:  J Vis       Date:  2021-01-04       Impact factor: 2.240

7.  Opposite effects of perceptual and working memory load on perceptual filling-in of an artificial scotoma.

Authors:  Rimona S Weil; Victoria Wykes; David Carmel; Geraint Rees
Journal:  Cogn Neurosci       Date:  2011-10-10       Impact factor: 3.065

8.  A multiple-response frequency-tagging paradigm measures graded changes in consciousness during perceptual filling-in.

Authors:  Matthew J Davidson; Irene L Graafsma; Naotsugu Tsuchiya; Jeroen van Boxtel
Journal:  Neurosci Conscious       Date:  2020-04-12

Review 9.  A review of interactions between peripheral and foveal vision.

Authors:  Emma E M Stewart; Matteo Valsecchi; Alexander C Schütz
Journal:  J Vis       Date:  2020-11-02       Impact factor: 2.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.