Deep neural networks (DNNs) are machine learning algorithms that have revolutionized
computer vision due to their remarkable successes in tasks like object classification and …

Visual processing varies dramatically across the visual field. These differences start in the
retina and continue all the way to the visual cortex. Despite these differences in processing …

Is it possible to learn something without being aware of it? How does emotion influence the
way we think? How can we improve our memory? Fundamentals of Cognition, third edition …

The fully updated eighth edition of Cognitive Psychology: A Student's Handbook provides
comprehensive yet accessible coverage of all the key areas in the field ranging from visual …

It has become accepted in the neuroscience community that perception and performance
are quintessentially multisensory by nature. Using the full palette of modern brain imaging …

This book reviews how people and animals learn and how their behaviors are later changed
as a result of this learning. Nearly all of our behaviors are influenced by prior learning …

This book proposes a revolutionary new theory of construct measurement–called C-OAR-SE–
for the social sciences. The acronym is derived from the following key elements: construct …

Efficient and versatile processing of any hierarchically structured information requires a
learning mechanism that combines lower-level features into higher-level chunks. We …

Presents the State-of-the-Art in Fat Taste TransductionA bite of cheese, a few potato chips, a
delectable piece of bacon-a small taste of high-fat foods often draws you back for more. But …

Comparing experts with novices offers unique insights into the functioning of cognition,
based on the maximization of individual differences. Here we used this expertise approach …