Literature DB >> 25681421

The Representation of Color across the Human Visual Cortex: Distinguishing Chromatic Signals Contributing to Object Form Versus Surface Color.

K J Seymour1, M A Williams1, A N Rich1.   

Abstract

Many theories of visual object perception assume the visual system initially extracts borders between objects and their background and then "fills in" color to the resulting object surfaces. We investigated the transformation of chromatic signals across the human ventral visual stream, with particular interest in distinguishing representations of object surface color from representations of chromatic signals reflecting the retinal input. We used fMRI to measure brain activity while participants viewed figure-ground stimuli that differed either in the position or in the color contrast polarity of the foreground object (the figure). Multivariate pattern analysis revealed that classifiers were able to decode information about which color was presented at a particular retinal location from early visual areas, whereas regions further along the ventral stream exhibited biases for representing color as part of an object's surface, irrespective of its position on the retina. Additional analyses showed that although activity in V2 contained strong chromatic contrast information to support the early parsing of objects within a visual scene, activity in this area also signaled information about object surface color. These findings are consistent with the view that mechanisms underlying scene segmentation and the binding of color to object surfaces converge in V2.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  binding problem; color; fMRI; figure-ground segmentation; object recognition

Mesh:

Year:  2015        PMID: 25681421     DOI: 10.1093/cercor/bhv021

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  6 in total

1.  Sensory processing and categorization in cortical and deep neural networks.

Authors:  Dimitris A Pinotsis; Markus Siegel; Earl K Miller
Journal:  Neuroimage       Date:  2019-08-21       Impact factor: 6.556

2.  Human V4 Activity Patterns Predict Behavioral Performance in Imagery of Object Color.

Authors:  Michael M Bannert; Andreas Bartels
Journal:  J Neurosci       Date:  2018-03-08       Impact factor: 6.167

3.  Mobile Universal Lexicon Evaluation System (MULES) test: A new measure of rapid picture naming for concussion.

Authors:  Lucy Cobbs; Lisena Hasanaj; Prin Amorapanth; John-Ross Rizzo; Rachel Nolan; Liliana Serrano; Jenelle Raynowska; Janet C Rucker; Barry D Jordan; Steven L Galetta; Laura J Balcer
Journal:  J Neurol Sci       Date:  2016-11-04       Impact factor: 3.181

4.  The new Mobile Universal Lexicon Evaluation System (MULES): A test of rapid picture naming for concussion sized for the sidelines.

Authors:  Omar Akhand; Matthew S Galetta; Lucy Cobbs; Lisena Hasanaj; Nikki Webb; Julia Drattell; Prin Amorapanth; John-Ross Rizzo; Rachel Nolan; Liliana Serrano; Janet C Rucker; Dennis Cardone; Barry D Jordan; Arlene Silverio; Steven L Galetta; Laura J Balcer
Journal:  J Neurol Sci       Date:  2018-02-22       Impact factor: 3.181

5.  The Influence of Object-Color Knowledge on Emerging Object Representations in the Brain.

Authors:  Lina Teichmann; Genevieve L Quek; Amanda K Robinson; Tijl Grootswagers; Thomas A Carlson; Anina N Rich
Journal:  J Neurosci       Date:  2020-07-23       Impact factor: 6.167

6.  Late disruption of central visual field disrupts peripheral perception of form and color.

Authors:  Kimberly B Weldon; Alexandra Woolgar; Anina N Rich; Mark A Williams
Journal:  PLoS One       Date:  2020-01-30       Impact factor: 3.240

  6 in total

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