Five important trends have emerged from recent work on computational models of focal
visual attention that emphasize the bottom-up, image-based control of attentional …

Classification images have recently become a widely used tool in visual psychophysics.
Here, I review the development of classification image methods over the past fifteen years. I …

Recent research [Parkhurst, D., Law, K., & Niebur, E., 2002. Modeling the role of salience in
the allocation of overt visual attention. Vision Research 42 (1)(2002) 107–123] showed that …

A letter in the peripheral visual field is much harder to identify in the presence of nearby
letters. This is “crowding.” Both crowding and ordinary masking are special cases of …

A laboratory study that investigates how algorithms come into existence. Algorithms--often
associated with the terms big data, machine learning, or artificial intelligence--underlie the …

Recent studies indicate that emotion enhances early vision, but the generality of this finding
remains unknown. Do the benefits of emotion extend to all basic aspects of vision, or are …

This article documents the practical efforts of a group of scientists designing an image-
processing algorithm for saliency detection. By following the actors of this computer science …

Divisive normalization (DN) is a prominent computational building block in the brain that has
been proposed as a canonical cortical operation. Numerous experimental studies have …

We examined the limits of visual resolution in natural scene viewing, using a gaze-
contingent multiresolutional display having a gaze-centred area-of-interest and decreasing …

HR Blackwell (1952) investigated the influence of different psychophysical methods and
procedures on detection thresholds. He found that the temporal two-interval forced-choice …