The world contains not only objects and features (red apples, glass bowls, wooden tables),
but also relations holding between them (apples contained in bowls, bowls supported by …

Replay in the brain has been viewed as rehearsal or, more recently, as sampling from a
transition model. Here, we propose a new hypothesis: that replay is able to implement a form …

Deep neural networks (DNNs) have had extraordinary successes in classifying
photographic images of objects and are often described as the best models of biological …

" Our thoughts are meaningful. We think about things in the outside world; how can that be
so? This is one of the deepest questions in contemporary philosophy. Ever since …

Recent progress in artificial intelligence has renewed interest in building systems that learn
and think like people. Many advances have come from using deep neural networks trained …

Theories of object recognition agree that shape is of primordial importance, but there is no
consensus about how shape might be represented, and so far attempts to implement a …

The two basic phenomena that define the problem of visual attention can be illustrated in a
simple example. Consider the arrays shown in each panel of Figure 1. In a typical …

Information Visualization: Perception for Design, Fourth Edition explores the art and science
of why we see objects the way we do. Based on the science of perception and vision, the …

A brilliant inquiry into the origins of human nature from the author of Rationality, The Better
Angels of Our Nature, and Enlightenment Now." Sweeping, erudite, sharply argued, and fun …

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 …