Abstract This paper describes Guided Search 6.0 (GS6), a revised model of visual search.
When we encounter a scene, we can see something everywhere. However, we cannot …

Visual attention enables us to selectively prioritize or suppress information in the
environment. Prominent models concerned with the control of visual attention differentiate …

In visual search tasks, observers look for targets among distractors. In the lab, this often
takes the form of multiple searches for a simple shape that may or may not be present …

Modeling visual attention-particularly stimulus-driven, saliency-based attention-has been a
very active research area over the past 25 years. Many different models of attention are now …

The present paper argues for the notion that when attention is spread across the visual field
in the first sweep of information through the brain visual selection is completely stimulus …

Visual attention is a process that enables biological and machine vision systems to select
the most relevant regions from a scene. Relevance is determined by two components: 1) top …

Prediction errors (PE) are a central notion in theoretical models of reinforcement learning,
perceptual inference, decision-making and cognition, and prediction error signals have …

Abstract Models of gaze allocation in complex scenes are derived mainly from studies of
static picture viewing. The dominant framework to emerge has been image salience, where …

Adaptive behavior in a complex, dynamic, and multisensory world poses some of the most
fundamental computational challenges for the brain, notably inference, decision-making …

Visual search, a vital task for humans and animals, has also become a common and
important tool for studying many topics central to active vision and cognition ranging from …