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Surface reconstruction, figure-ground modulation, and border-ownership

Surface reconstruction, figure-ground modulation, and border-ownership Abstract The Differentiation-Integration for Surface Completion (DISC) model aims to explain the reconstruction of visual surfaces. We find the model a valuable contribution to our understanding of figure-ground organization. We point out that, next to border-ownership, neurons in visual cortex code whether surface elements belong to a figure or the background and that this is influenced by attention. We furthermore suggest that there must be strong links between object recognition and figure-ground assignment in order to resolve the status of interior contours. Incorporation of these factors in neurocomputational models will further improve our understanding of surface reconstruction, figure-ground organization, and border-ownership. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Cognitive Neuroscience Taylor & Francis

Surface reconstruction, figure-ground modulation, and border-ownership

31 pages

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Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis Group, LLC
ISSN
1758-8936
eISSN
1758-8928
DOI
10.1080/17588928.2012.748025
pmid
24073702
Publisher site
See Article on Publisher Site

Abstract

Abstract The Differentiation-Integration for Surface Completion (DISC) model aims to explain the reconstruction of visual surfaces. We find the model a valuable contribution to our understanding of figure-ground organization. We point out that, next to border-ownership, neurons in visual cortex code whether surface elements belong to a figure or the background and that this is influenced by attention. We furthermore suggest that there must be strong links between object recognition and figure-ground assignment in order to resolve the status of interior contours. Incorporation of these factors in neurocomputational models will further improve our understanding of surface reconstruction, figure-ground organization, and border-ownership.

Journal

Cognitive NeuroscienceTaylor & Francis

Published: Mar 1, 2013

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