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Modeling perceptual grouping and figure ground segregation by means of active reentrant connections

Academic Article
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Overview

authors

  • Sporns, O.
  • Tononi, G.
  • Edelman, Gerald

publication date

  • January 1991

journal

  • Proceedings of the National Academy of Sciences of the United States of America  Journal

abstract

  • The segmentation of visual scenes is a fundamental process of early vision, but the underlying neural mechanisms are still largely unknown. Theoretical considerations as well as neurophysiological findings point to the importance in such processes of temporal correlations in neuronal activity. In a previous model, we showed that reentrant signaling among rhythmically active neuronal groups can correlate responses along spatially extended contours. We now have modified and extended this model to address the problems of perceptual grouping and figure-ground segregation in vision. A novel feature is that the efficacy of the connections is allowed to change on a fast time scale. This results in active reentrant connections that amplify the correlations among neuronal groups. The responses of the model are able to link the elements corresponding to a coherent figure and to segregate them from the background or from another figure in a way that is consistent with the so-called Gestalt laws.

subject areas

  • Animals
  • Computer Simulation
  • Models, Neurological
  • Neurons
  • Vision, Ocular
  • Visual Cortex
  • Visual Perception
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Research

keywords

  • CORRELATIONS
  • GESTALT LAWS
  • NEURAL NETWORKS
  • VISUAL CORTEX
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Identity

International Standard Serial Number (ISSN)

  • 0027-8424

Digital Object Identifier (DOI)

  • 10.1073/pnas.88.1.129

PubMed ID

  • 1986358
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Additional Document Info

start page

  • 129

end page

  • 133

volume

  • 88

issue

  • 1

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