Learning efficient visual search for stimuli containing diagnostic spatial configurations and color-shape conjunctions.

ABSTRACT: Visual search is often slow and difficult for complex stimuli such as feature conjunctions. Search efficiency, however, can improve with training. Search for stimuli that can be identified by the spatial configuration of two elements (e.g., the relative position of two colored shapes) improves dramatically within a few hundred trials of practice. Several recent imaging studies have identified neural correlates of this learning, but it remains unclear what stimulus properties participants learn to use to search efficiently. Influential models, such as reverse hierarchy theory, propose two major possibilities: learning to use information contained in low-level image statistics (e.g., single features at particular retinotopic locations) or in high-level characteristics (e.g., feature conjunct

SUBMITTER: Reavis EA 

PROVIDER: S-EPMC6035115 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature