December 2022
Volume 22, Issue 14
Open Access
Vision Sciences Society Annual Meeting Abstract  |   December 2022
A computational model of binding by temporal synchrony in visual area V1
Author Affiliations & Notes
  • Rachel Heaton
    University of Illinois Urbana-Champaign
  • John Hummel
    University of Illinois Urbana-Champaign
  • Footnotes
    Acknowledgements  This work was supported by AFOSR Grant AF-FA9550-12-1-003
Journal of Vision December 2022, Vol.22, 3586. doi:https://doi.org/10.1167/jov.22.14.3586
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      Rachel Heaton, John Hummel; A computational model of binding by temporal synchrony in visual area V1. Journal of Vision 2022;22(14):3586. https://doi.org/10.1167/jov.22.14.3586.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Binding by temporal synchrony of firing has been proposed as a means by which 3-D structural representations of objects by their parts can be constructed from simple features such as bars and edges (Hummel & Biederman, 1992; Hummel & Stankiewicz, 1998; Hummel, 2001). Gray et al. (1989) showed that spatially separate neurons in cat V1 fire in temporal synchrony according to properties of the global visual stimulus. In a computational model of Visual Area V1 that operates on full-color images, we demonstrate a mechanism by which spatially separate but collinear bar and edge detecting neurons can achieve temporal synchronicity of firing, consistent with the findings of Gray and colleagues. The model also shows mutual desynchronization of different contours, which has been proposed to be a function of visual attention (Stankiewicz & Hummel, 1996).

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