Modeling the lateral cortical connections and Area V1 to LGN feedback for producing segment completion, noise reduction, and attentional effects

David L. Enke; Cihan H. Dagli

doi:10.1117/12.274515

3 June 1997 Modeling the lateral cortical connections and Area V1 to LGN feedback for producing segment completion, noise reduction, and attentional effects

David L. Enke, Cihan H. Dagli

Author Affiliations +

Proceedings Volume 3016, Human Vision and Electronic Imaging II; (1997) https://doi.org/10.1117/12.274515
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

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.

Citation Download Citation

David L. Enke and Cihan H. Dagli "Modeling the lateral cortical connections and Area V1 to LGN feedback for producing segment completion, noise reduction, and attentional effects", Proc. SPIE 3016, Human Vision and Electronic Imaging II, (3 June 1997); https://doi.org/10.1117/12.274515

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