Inductive category learning takes place across time. As such, it is not surprising that the
sequence in which information is studied has an impact in what is learned and how efficient …

Exemplar, prototype, and rule theory have organized much of the enormous literature on
categorization. From this theoretical foundation have arisen the two primary debates in the …

The first neurobiologically detailed theory of multiple systems in category learning, called
COVIS, was originally conceived in 1998. COVIS, which is now well established, postulates …

Self-agency is a crucial aspect of self-awareness. It is underresearched given the
phenomenon's subjectivity and difficulty of study. It is particularly underresearched …

To explain animal learning, researchers invoke a dominant associative construct. In contrast,
researchers freely acknowledge humans' explicit-declarative learning capacity. Here, we …

More than two decades of work in vision posits the existence of dual-learning systems of
category learning. The reflective system uses working memory to develop and test rules for …

In rule-based (RB) category-learning tasks, the optimal strategy is a simple explicit rule,
whereas in information-integration (II) tasks, the optimal strategy is impossible to describe …

A meta-analysis of non-human primates performing three different tasks (Object-Match,
Category-Match, and Category-Saccade associations) revealed signatures of explicit and …

The ability to organize variable sensory signals into discrete categories is a fundamental
process in human cognition thought to underlie many real-world learning problems …

A prominent theory of category learning, COVIS, posits that new categories are learned with
either a declarative or procedural system, depending on the task. The declarative system …