Virtually all current theories of category learning assume that humans learn new categories
by gradually forming associations directly between stimuli and responses. In information …

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 …

There is widespread agreement that multiple qualitatively different category learning
systems mediate the learning of different category structures. Two systems that have …

Considerable evidence has argued in favor of multiple neural systems supporting human
category learning, one based on conscious rule inference and one based on implicit …

Contemporary theory in cognitive neuroscience distinguishes, among the processes and
utilities that serve categorization, explicit and implicit systems of category learning that learn …

A fundamental question is whether people have available one category learning system, or
many. Most multiple systems advocates postulate one explicit and one implicit system …

The ability to group items and events into functional categories is a fundamental
characteristic of sophisticated thought. It is subserved by plasticity in many neural systems …

Much recent evidence suggests some dramatic differences in the way people learn
perceptual categories, depending on exactly how the categories were constructed. Four …

The influential competition between verbal and implicit systems (COVIS) model proposes
that category learning is driven by two competing neural systems—an explicit, verbal …

An influential multi‐process model of category learning, COmpetition between Verbal and
Implicit Systems (COVIS), suggests that a verbal or a procedural category learning process …