Computational and neural mechanisms for visual suppression

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Abstract

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). © 2010 Springer-Verlag.

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Wu, C. Q. (2010). Computational and neural mechanisms for visual suppression. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6064 LNCS, pp. 230–239). https://doi.org/10.1007/978-3-642-13318-3_30

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