Visual perception as retrospective Bayesian decoding from high- to low-level features.

ABSTRACT: When a stimulus is presented, its encoding is known to progress from low- to high-level features. How these features are decoded to produce perception is less clear, and most models assume that decoding follows the same low- to high-level hierarchy of encoding. There are also theories arguing for global precedence, reversed hierarchy, or bidirectional processing, but they are descriptive without quantitative comparison with human perception. Moreover, observers often inspect different parts of a scene sequentially to form overall perception, suggesting that perceptual decoding requires working memory, yet few models consider how working-memory properties may affect decoding hierarchy. We probed decoding hierarchy by comparing absolute judgments of single orientations and relative/ordinal j

SUBMITTER: Ding S 

PROVIDER: S-EPMC5664511 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature