Literature DB >> 20141316

Stages of category learning in monkeys (Macaca mulatta) and humans (Homo sapiens).

J David Smith1, William P Chapman, Joshua S Redford.   

Abstract

Smith and Minda (1998) and Blair and Homa (2001) studied the time course of category learning in humans. They distinguished an early, abstraction-based stage of category learning from a later stage that incorporated a capacity for categorizing exceptional category members. The present authors asked whether similar processing stages characterize the category learning of nonhuman primates. Humans (Homo sapiens) and monkeys (Macaca mulatta) participated in category-learning tasks that extended Blair and Homa's paradigm comparatively. Early in learning, both species improved on typical items more than on exception items, indicating an initial mastery of the categories' general structure. Later in learning, both species selectively improved their exception-item performance, indicating exception-item resolution or exemplar memorization. An initial stage of abstraction-based category learning may characterize categorization across a substantial range of the order Primates. This default strategy may have an adaptive resonance with the family resemblance organization of many natural-kind categories.

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Year:  2010        PMID: 20141316      PMCID: PMC4130214          DOI: 10.1037/a0016573

Source DB:  PubMed          Journal:  J Exp Psychol Anim Behav Process        ISSN: 0097-7403


  34 in total

1.  Complementary category learning systems identified using event-related functional MRI.

Authors:  H J Aizenstein; A W MacDonald; V A Stenger; R D Nebes; J K Larson; S Ursu; C S Carter
Journal:  J Cogn Neurosci       Date:  2000-11       Impact factor: 3.225

2.  Exemplar theory's predicted typicality gradient can be tested and disconfirmed.

Authors:  J David Smith
Journal:  Psychol Sci       Date:  2002-09

3.  ALCOVE: an exemplar-based connectionist model of category learning.

Authors:  J K Kruschke
Journal:  Psychol Rev       Date:  1992-01       Impact factor: 8.934

4.  Stages of abstraction and exemplar memorization in pigeon category learning.

Authors:  Robert G Cook; J David Smith
Journal:  Psychol Sci       Date:  2006-12

5.  Perceived distance and the classification of distorted patterns.

Authors:  M I Posner; R Goldsmith; K E Welton
Journal:  J Exp Psychol       Date:  1967-01

6.  Cortical areas supporting category learning identified using functional MRI.

Authors:  P J Reber; C E Stark; L R Squire
Journal:  Proc Natl Acad Sci U S A       Date:  1998-01-20       Impact factor: 11.205

7.  A prototype effect and categorization of artificial polymorphous stimuli in pigeons.

Authors:  M Jitsumori
Journal:  J Exp Psychol Anim Behav Process       Date:  1996-10

8.  Visual classes and natural categories in the pigeon.

Authors:  J Cerella
Journal:  J Exp Psychol Hum Percept Perform       Date:  1979-02       Impact factor: 3.332

9.  A neuropsychological theory of multiple systems in category learning.

Authors:  F G Ashby; L A Alfonso-Reese; A U Turken; E M Waldron
Journal:  Psychol Rev       Date:  1998-07       Impact factor: 8.934

10.  The learning of categories: parallel brain systems for item memory and category knowledge.

Authors:  B J Knowlton; L R Squire
Journal:  Science       Date:  1993-12-10       Impact factor: 47.728

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  13 in total

1.  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

2.  Refining the visual-cortical hypothesis in category learning.

Authors:  Mariana V C Coutinho; Justin J Couchman; Joshua S Redford; J David Smith
Journal:  Brain Cogn       Date:  2010-08-01       Impact factor: 2.310

3.  Posterror slowing predicts rule-based but not information-integration category learning.

Authors:  Helen Tam; W Todd Maddox; Cynthia L Huang-Pollock
Journal:  Psychon Bull Rev       Date:  2013-12

4.  Strategy use in probabilistic categorization by rhesus macaques (Macaca mulatta) and capuchin monkeys (Cebus [Sapajus] apella).

Authors:  Will Whitham; David A Washburn
Journal:  J Comp Psychol       Date:  2020-05-14       Impact factor: 2.231

Review 5.  Prototypes, exemplars, and the natural history of categorization.

Authors:  J David Smith
Journal:  Psychon Bull Rev       Date:  2014-04

6.  Cross-modal information integration in category learning.

Authors:  J David Smith; Jennifer J R Johnston; Robert D Musgrave; Alexandria C Zakrzewski; Joseph Boomer; Barbara A Church; F Gregory Ashby
Journal:  Atten Percept Psychophys       Date:  2014-07       Impact factor: 2.199

7.  Implicit and explicit category learning by capuchin monkeys (Cebus apella).

Authors:  J David Smith; Matthew J Crossley; Joseph Boomer; Barbara A Church; Michael J Beran; F Gregory Ashby
Journal:  J Comp Psychol       Date:  2011-10-24       Impact factor: 2.231

8.  Ecology, Fitness, Evolution: New Perspectives on Categorization.

Authors:  J David Smith; Alexandria C Zakrzewski; Jennifer M Johnson; Jeanette C Valleau
Journal:  Curr Dir Psychol Sci       Date:  2016-08

Review 9.  Implicit and explicit categorization: a tale of four species.

Authors:  J David Smith; Mark E Berg; Robert G Cook; Matthew S Murphy; Matthew J Crossley; Joseph Boomer; Brian Spiering; Michael J Beran; Barbara A Church; F Gregory Ashby; Randolph C Grace
Journal:  Neurosci Biobehav Rev       Date:  2012-09-11       Impact factor: 8.989

10.  One-back reinforcement dissociates implicit-procedural and explicit-declarative category learning.

Authors:  J David Smith; Sonia Jamani; Joseph Boomer; Barbara A Church
Journal:  Mem Cognit       Date:  2018-02
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