Skip to main content
eScholarship
Open Access Publications from the University of California

Dynamic Gating in Vision

Abstract

Visual attention requires the selection of salient regions and their remapping into a position-invariant format. W e propose the dynamic-gating model capable of autonomous remapping. It combines the localization network of Koch and U U m a n (1985) with a modified shifter-circuit network (Anderson L Van Es.sen, 1987). Autonomous selection and remapping of salient regions result from local gating dynamics and local connectivity, implying that scaling to large problem sizes is straightforward.

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View