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 …

Theories of attention posit that attentional guidance operates on information held in a target
template within memory. The template is often thought to contain veridical target features …

The specific neural systems underlying the subjective feeling of fear are debated in affective
neuroscience. Here, we combine functional MRI with machine learning to identify and …

Generative models, in particular generative adversarial networks (GANs), have gained
significant attention in recent years. A number of GAN variants have been proposed and …

Non-recurrent deep convolutional neural networks (CNNs) are currently the best at
modeling core object recognition, a behavior that is supported by the densely recurrent …

Detecting and segmenting salient objects from natural scenes, often referred to as salient
object detection, has attracted great interest in computer vision. While many models have …

This paper reviews studies on eye movements in decision making, and compares their
observations to theoretical predictions concerning the role of attention in decision making …

Purpose The purpose of this paper is to investigate the differences in consumer pleasure,
arousal and purchase intention when consumers encounter food advertising on Instagram …

Artificial intelligence (AI) has proven to be useful in many applications from automating cars
to providing customer service responses. However, though many firms want to take …

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 …