Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
A Multi-Stage Neural Network Model for Human Color Vision
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
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I investigate the computational and the neural mechanisms for suppressing retinal vascular image (RVI) and attempt to generalize some conclusions to other visual suppression phenomena First I present a new observation demonstrating RVI in negative afterimages Then I discuss RVI suppression from a computational perspective and suggest: (1) RVI is always there in the retinal stimulation; (2) RVI must be actively suppressed on a moment-by-moment basis; and (3) in order to suppress RVI, there must exist an internal representation of RVI at a monocular stage Mapping onto the organization of the primate visual system, particularly based on Adams and Horton's neuroanatomical demonstration of a complete representation of retinal blood vessels in layer 4C of V1, I propose that layer 4C is in fact the neural site for RVI suppression Finally, I suggest that layer 4C is the neural substrate for phenomenal visual consciousness (particularly, color and brightness consciousness).