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.