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Author(s): Grossberg, S. | Mingolla, E. |
Year: 2005
Citation: Presentation to the annual meeting of the Vision Sciences Society, May 6, 2005, Sarasota, Florida.
Abstract: This is a review of neural network based vision modeling techniques. The models discussed are: shunting and distance-dependent networks, boundary grouping and completion models, neon color spreading models, etc. Supporting evidence from psychophysical experiments is cited and discussed. Future research directions are outlined.
Topics:
Biological Vision,
Image Analysis,
Models:
Boundary Contour System,
