Attentional priority is determined by predicted feature distributions.
Phillip Witkowski, Joy J. Geng
Abstract
= 480 university students), we show that these predictions are encoded into the target template as a distribution of likelihoods over possible target features, which are independent of memory precision for the cued item. These results provide a novel demonstration of how observers represent predicted feature distributions when target features are uncertain and show that these predictions are used to set attentional priority during visual search. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Topics & Concepts
Feature (linguistics)Cued speechComputer scienceSet (abstract data type)Visual searchArtificial intelligenceVisual attentionPattern recognition (psychology)Cognitive psychologyPsychologyCognitionNeurosciencePhilosophyProgramming languageLinguisticsNeural and Behavioral Psychology StudiesVisual Attention and Saliency DetectionVisual perception and processing mechanisms