Literature DB >> 23447679

Contour adaptation.

Stuart Anstis1.   

Abstract

It is known that adaptation to a disk that flickers between black and white at 3-8 Hz on a gray surround renders invisible a congruent gray test disk viewed afterwards. This is contrast adaptation. We now report that adapting simply to the flickering circular outline of the disk can have the same effect. We call this "contour adaptation." This adaptation does not transfer interocularly, and apparently applies only to luminance, not color. One can adapt selectively to only some of the contours in a display, making only these contours temporarily invisible. For instance, a plaid comprises a vertical grating superimposed on a horizontal grating. If one first adapts to appropriate flickering vertical lines, the vertical components of the plaid disappears and it looks like a horizontal grating. Also, we simulated a Cornsweet (1970) edge, and we selectively adapted out the subjective and objective contours of a Kanisza (1976) subjective square. By temporarily removing edges, contour adaptation offers a new technique to study the role of visual edges, and it demonstrates how brightness information is concentrated in edges and propagates from them as it fills in surfaces.

Mesh:

Year:  2013        PMID: 23447679     DOI: 10.1167/13.2.25

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


  10 in total

1.  Dynamic brightness induction causes flicker adaptation, but only along the edges: evidence against the neural filling-in of brightness.

Authors:  Alan E Robinson; Virginia R de Sa
Journal:  J Vis       Date:  2013-05-31       Impact factor: 2.240

2.  Visual Adaptation.

Authors:  Michael A Webster
Journal:  Annu Rev Vis Sci       Date:  2015-10-22       Impact factor: 6.422

3.  Fixational eye movements enable robust edge detection.

Authors:  Lynn Schmittwilken; Marianne Maertens
Journal:  J Vis       Date:  2022-07-11       Impact factor: 2.004

4.  Pattern specificity of contrast adaptation.

Authors:  Stuart Anstis
Journal:  Iperception       Date:  2014-02-04

5.  Contour erasure and filling-in: New observations.

Authors:  Stuart Anstis; Mark W Greenlee
Journal:  Iperception       Date:  2014-02-22

6.  Serial versus parallel processing in mid-level vision: filling-in the details of spatial interpolation.

Authors:  Michele A Cox; Alexander Maier
Journal:  Neurosci Conscious       Date:  2015-10-02

7.  Adaptation to transients disrupts spatial coherence in binocular rivalry.

Authors:  Marnix Naber; Sjoerd Stuit; Yentl De Kloe; Stefan Van der Stigchel; Chris L E Paffen
Journal:  Sci Rep       Date:  2020-05-26       Impact factor: 4.379

8.  Neural correlates of lateral modulation and perceptual filling-in in center-surround radial sinusoidal gratings: an fMRI study.

Authors:  Yih-Shiuan Lin; Chien-Chung Chen; Mark W Greenlee
Journal:  Sci Rep       Date:  2022-09-27       Impact factor: 4.996

9.  A cortical edge-integration model of object-based lightness computation that explains effects of spatial context and individual differences.

Authors:  Michael E Rudd
Journal:  Front Hum Neurosci       Date:  2014-08-22       Impact factor: 3.169

10.  Image Statistics and the Fine Lines of Material Perception.

Authors:  Juno Kim; Kairen Tan; Nahian S Chowdhury
Journal:  Iperception       Date:  2016-07-14
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.