Vision and learning have long been considered to be two areas of research linked only
distantly. However, recent developments in vision research have changed the conceptual …

While the field of vision science has grown significantly in the past three decades, there
have been few comprehensive books that showed readers how to adopt a computional …

The problem of learning is arguably at the very core of the problem of intelligence, both
biological and artificial. In this paper we review our approach to the problem of visual …

From a theoretical perspective, most discussions of statistical learning (SL) have focused on
the possible “statistical” properties that are the object of learning. Much less attention has …

What are the building blocks of our visual representations? Whatever we look at, the things
we see will have some feature variability: even snow is not purely white but has a range of …

Statistical learning refers to the extraction of probabilistic relationships between stimuli and
is increasingly used as a method to understand learning processes. However, numerous …

Our environment contains regularities distributed in space and time that can be detected by
way of statistical learning. This unsupervised learning occurs without intent or awareness …

We argue that the study of human vision should be aimed at determining how humans
perform natural tasks with natural images. Attempts to understand the phenomenology of …

In the perceptual learning (PL) literature, researchers typically focus on improvements in
accuracy, such as d′. In contrast, researchers who investigate the practice of cognitive …

While the visual environment contains massive amounts of information, we should not and
cannot pay attention to all events. Instead, we need to direct attention to those events that …