Human category learning 2.0

TitleHuman category learning 2.0
Publication TypeJournal Article
Year of Publication2011
AuthorsF Ashby, G., & W Maddox T.
JournalAnnals of the New York Academy of Sciences
Date Published2011 Apr
KeywordsAnimals, Automatism, Behavior, Brain Mapping, Cognition, Humans, Image Processing, Computer-Assisted, Learning, Models, Neurological, Nerve Net, Neurosciences, Research

During the 1990s and early 2000s, cognitive neuroscience investigations of human category learning focused on the primary goal of showing that humans have multiple category-learning systems and on the secondary goals of identifying key qualitative properties of each system and of roughly mapping out the neural networks that mediate each system. Many researchers now accept the strength of the evidence supporting multiple systems, and as a result, during the past few years, work has begun on the second generation of research questions-that is, on questions that begin with the assumption that humans have multiple category-learning systems. This article reviews much of this second generation of research. Topics covered include (1) How do the various systems interact? (2) Are there different neural systems for categorization and category representation? (3) How does automaticity develop in each system? and (4) Exactly how does each system learn?

Alternate JournalAnn. N. Y. Acad. Sci.
PubMed ID21182535
PubMed Central IDPMC3076539
Grant ListP01 NS044393 / NS / NINDS NIH HHS / United States
R01 MH077708 / MH / NIMH NIH HHS / United States
R01 MH077708-05 / MH / NIMH NIH HHS / United States
MH077708 / MH / NIMH NIH HHS / United States