Vision: looking and seeing through our brain's information bottleneck

Our brain recognizes only a tiny fraction of sensory input, due to an information processing bottleneck. This blinds us to most visual inputs. Since we are blind to this blindness, only a recent framework highlights this bottleneck by formulating vision as mainly looking and seeing. Looking selects a tiny fraction of visual information for progression through the bottleneck, mainly by shifting gaze to center an attentional spotlight. Seeing decodes, i.e., recognizes, objects within the selected information. Since looking often occurs before seeing and evokes limited awareness, humans have the impression of seeing whole scenes clearly. According to the new framework, the bottleneck starts from the output of the primary visual cortex (V1) to downstream brain areas. This is motivated by the evidence- backed V1 Saliency Hypothesis (V1SH) that V1 creates a saliency map of the visual field to guide looking. Massive visual information loss downstream from V1 makes seeing vulnerable to ambiguity and illusions (errors). To overcome this, feedback from downstream to upstream areas such as V1 queries for additional relevant information. An integral part of this framework is the central-peripheral dichotomy (CPD) theory proposing that vision in the peripheral and central visual fields are specialized for looking (deciding where to shift the gaze) and seeing, respectively, and that the feedback query to aid seeing is mainly directed to the central visual field. This V1SH-Bottleneck-CPD framework predicts that the peripheral visual field, lacking feedback queries, is more vulnerable to illusions, and that such illusions become visible in the central visual field when the feedback query is compromised. We present theoretical predictions, experimental confirmations, a Feedforward-Feedback-Verify-and-reWeight (FFVW) algorithm for seeing through the bottleneck, and indicate how the framework explains visual crowding, grouping, understanding, and post-V1 visual cortical areas.