Literature DB >> 33850220

Interaction of surface pattern and contour shape in the tilt after effects evoked by symmetry.

Ko Sakai1, Yui Sakata2, Ken Kurematsu2.   

Abstract

Integration of multiple properties of an object is a fundamental function of the visual cortex in object recognition. For instance, surface patterns and contour shapes are thought to be crucial characteristics that jointly contribute to recognition. However, the mechanisms of integration and corresponding cortical representations have not been fully clarified. We investigated the integration of surfaces and shapes by examining the tilt after effects (TAEs) evoked by the symmetry of patterns and contours. As symmetry in both pattern and contour evokes TAEs, we can directly measure the interaction between the two. The measured TAEs exhibited mutual transfer between the symmetry of the pattern (SP) and that of the contour shape (SS), i.e., adaptation by SP (SS) evoked TAEs when tested by SS (SP), suggesting the existence of an integrated representation. Next, we examined the interaction between SP and SS when both were simultaneously presented in adaptation. Congruent adaptors wherein their symmetry axes aligned evoked compressive interaction, whereas incongruent adaptors wherein the axes of SP and SS tilted to the opposite directions evoked subtractive interaction. These results suggest the existence of a cortical representation that integrates the properties of the surface and shape with suppressive interactions, which can provide crucial insights into the formation of object representation as well as the integration of visual information in the cortex.

Entities:  

Year:  2021        PMID: 33850220     DOI: 10.1038/s41598-021-87429-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  31 in total

1.  Image statistics underlying natural texture selectivity of neurons in macaque V4.

Authors:  Gouki Okazawa; Satohiro Tajima; Hidehiko Komatsu
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-22       Impact factor: 11.205

2.  Neural Coding for Shape and Texture in Macaque Area V4.

Authors:  Taekjun Kim; Wyeth Bair; Anitha Pasupathy
Journal:  J Neurosci       Date:  2019-04-04       Impact factor: 6.167

3.  Modeling diverse responses to filled and outline shapes in macaque V4.

Authors:  Dina V Popovkina; Wyeth Bair; Anitha Pasupathy
Journal:  J Neurophysiol       Date:  2019-01-30       Impact factor: 2.714

4.  Neural selectivity and representation of gloss in the monkey inferior temporal cortex.

Authors:  Akiko Nishio; Naokazu Goda; Hidehiko Komatsu
Journal:  J Neurosci       Date:  2012-08-01       Impact factor: 6.167

5.  Neural responses to dynamic adaptation reveal the dissociation between the processing of the shape of contours and textures.

Authors:  Damien Wright; Benjamin Dering; Jasna Martinovic; Elena Gheorghiu
Journal:  Cortex       Date:  2020-02-11       Impact factor: 4.027

6.  A surface-based code contributes to visual shape perception.

Authors:  Martin Arguin; Ian Marleau; Mercédès Aubin; Sacha Zahabi; E Charles Leek
Journal:  J Vis       Date:  2019-09-03       Impact factor: 2.240

7.  A sparse object coding scheme in area V4.

Authors:  Eric T Carlson; Russell J Rasquinha; Kechen Zhang; Charles E Connor
Journal:  Curr Biol       Date:  2011-02-22       Impact factor: 10.834

Review 8.  Object shape and surface properties are jointly encoded in mid-level ventral visual cortex.

Authors:  Anitha Pasupathy; Taekjun Kim; Dina V Popovkina
Journal:  Curr Opin Neurobiol       Date:  2019-10-04       Impact factor: 6.627

9.  Surface diagnosticity predicts the high-level representation of regular and irregular object shape in human vision.

Authors:  Irene Reppa; E Charles Leek
Journal:  Atten Percept Psychophys       Date:  2019-07       Impact factor: 2.199

10.  A neural code for three-dimensional object shape in macaque inferotemporal cortex.

Authors:  Yukako Yamane; Eric T Carlson; Katherine C Bowman; Zhihong Wang; Charles E Connor
Journal:  Nat Neurosci       Date:  2008-10-05       Impact factor: 24.884

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  1 in total

1.  Figure-ground responsive fields of monkey V4 neurons estimated from natural image patches.

Authors:  Kouji Kimura; Atsushi Kodama; Yukako Yamane; Ko Sakai
Journal:  PLoS One       Date:  2022-06-16       Impact factor: 3.752

  1 in total

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