Crowding results from optimal integration of visual targets with contextual information

Abstract

Visual crowding is a phenomenon where objects presented in the visual periphery are not resolved efficiently. Here the authors show that crowding may derive from an optimizing strategy that blends information when it is similar and preserves it when it is dissimilar.