Literature DB >> 15157979

Dissociating explicit and procedural-learning based systems of perceptual category learning.

W Todd Maddox1, F Gregory Ashby.   

Abstract

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. Although there is much agreement about the nature of the explicit system, there is less agreement about the nature of the implicit system. In this article, we review a dual systems theory of category learning called competition between verbal and implicit systems (COVIS) developed by Ashby et al. The explicit system dominates the learning of verbalizable, rule-based category structures and is mediated by frontal brain areas such as the anterior cingulate, prefrontal cortex (PFC), and head of the caudate nucleus. The implicit system, which uses procedural learning, dominates the learning of non-verbalizable, information-integration category structures, and is mediated by the tail of the caudate nucleus and a dopamine-mediated reward signal. We review nine studies that test six a priori predictions from COVIS, each of which is supported by the data.

Entities:  

Mesh:

Year:  2004        PMID: 15157979     DOI: 10.1016/j.beproc.2004.03.011

Source DB:  PubMed          Journal:  Behav Processes        ISSN: 0376-6357            Impact factor:   1.777


  98 in total

1.  Analogical transfer in perceptual categorization.

Authors:  Michael B Casale; Jessica L Roeder; F Gregory Ashby
Journal:  Mem Cognit       Date:  2012-04

2.  Computational Models Inform Clinical Science and Assessment: An Application to Category Learning in Striatal-Damaged Patients.

Authors:  W Todd Maddox; J Vincent Filoteo; Dagmar Zeithamova
Journal:  J Math Psychol       Date:  2010-02-01       Impact factor: 2.223

3.  The dimensionality of perceptual category learning: a state-trace analysis.

Authors:  Ben R Newell; John C Dunn; Michael Kalish
Journal:  Mem Cognit       Date:  2010-07

4.  Individual differences in learning talker categories: the role of working memory.

Authors:  Susannah V Levi
Journal:  Phonetica       Date:  2015-02-19       Impact factor: 1.759

5.  Deferred feedback sharply dissociates implicit and explicit category learning.

Authors:  J David Smith; Joseph Boomer; Alexandria C Zakrzewski; Jessica L Roeder; Barbara A Church; F Gregory Ashby
Journal:  Psychol Sci       Date:  2013-12-13

6.  Dual-task interference in perceptual category learning.

Authors:  Dagmar Zeithamova; W Todd Maddox
Journal:  Mem Cognit       Date:  2006-03

7.  A test of the regulatory fit hypothesis in perceptual classification learning.

Authors:  W Todd Maddox; Grant C Baldwin; Arthur B Markman
Journal:  Mem Cognit       Date:  2006-10

8.  The C957T polymorphism in the dopamine receptor D₂ gene modulates domain-general category learning.

Authors:  Zilong Xie; W Todd Maddox; John E McGeary; Bharath Chandrasekaran
Journal:  J Neurophysiol       Date:  2015-03-11       Impact factor: 2.714

9.  What is pressure? Evidence for social pressure as a type of regulatory focus.

Authors:  Darrell A Worthy; Arthur B Markman; W Todd Maddox
Journal:  Psychon Bull Rev       Date:  2009-04

10.  A Comparison of the neural correlates that underlie rule-based and information-integration category learning.

Authors:  Kathryn L Carpenter; Andy J Wills; Abdelmalek Benattayallah; Fraser Milton
Journal:  Hum Brain Mapp       Date:  2016-05-20       Impact factor: 5.038

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.