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Proceedings Paper

Modeling the lateral cortical connections and Area V1 to LGN feedback for producing segment completion, noise reduction, and attentional effects
Author(s): David L. Enke; Cihan H. Dagli
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Paper Abstract

A network of primary visual cortex simple cells has been modeled to respond to varying degrees of segment orientation contained within an input image. Although these cells receive a significant receptive field input from a grid of model lateral geniculate nucleus (LGN) cells, they also receive inputs from both long-range excitatory and short-range inhibitory lateral connections made with adjacent simple cells. These cortical interactions have the effect of enhancing stronger signals, filling-in missing or incomplete image information, and reducing locally connected noise. This filtering process is facilitated by the modification of the LGN cell responses, each receiving both positive and negative feedback from retinotopically located cortical simple cells. In addition to the aforementioned filtering, adjusting the levels of cortical feedback, as well as the influence of top- down signals, can also produce attentional effects. Simulations with noisy and incomplete images are used to demonstrate the performance of the network model.

Paper Details

Date Published: 3 June 1997
PDF: 12 pages
Proc. SPIE 3016, Human Vision and Electronic Imaging II, (3 June 1997); doi: 10.1117/12.274515
Show Author Affiliations
David L. Enke, Univ. of Missouri/Rolla (United States)
Cihan H. Dagli, Univ. of Missouri/Rolla (United States)

Published in SPIE Proceedings Vol. 3016:
Human Vision and Electronic Imaging II
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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