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.