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Ann. N.Y. Acad. Sci. ISSN 0077-8923 ANNALS OF THE NEW YORK ACADEMY OF SCIENCES
 

Summary: Ann. N.Y. Acad. Sci. ISSN 0077-8923
ANNALS OF THE NEW YORK ACADEMY OF SCIENCES
Issue: The Year in Cognitive Neuroscience
Human category learning 2.0
F. Gregory Ashby1
and W. Todd Maddox2
1
Department of Psychology, University of California, Santa Barbara, California. 2
Department of Psychology, University of
Texas, Austin, Texas
Address for correspondence: F. Gregory Ashby, Department of Psychology, University of California, Santa Barbara,
CA 93106. ashby@psych.ucsb.edu
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?

  

Source: Ashby, F. Gregory - Department of Psychology, University of California at Santa Barbara
Maddox, W. Todd - Department of Psychology, University of Texas at Austin

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences