Literature DB >> 21327382

Pigeons' categorization may be exclusively nonanalytic.

J David Smith1, F Gregory Ashby, Mark E Berg, Matthew S Murphy, Brian Spiering, Robert G Cook, Randolph C Grace.   

Abstract

Recent theoretical and empirical developments in human category learning have differentiated an analytic, rule-based system of category learning from a nonanalytic system that integrates information across stimulus dimensions. In the present study, the researchers applied this theoretical distinction to pigeons' category learning. Pigeons learned to categorize stimuli varying in the tilt and width of their internal striping. The matched category problems had either a unidimensional (rule-based) or multidimensional (information-integration) solution. Whereas humans and nonhuman primates strongly dimensionalize these stimuli and learn rule-based tasks far more quickly than information-integration tasks, pigeons learned the two tasks equally quickly to the same accuracy level. Pigeons may represent a cognitive system in which the commitment to dimensional analysis and category rules was not strongly made. Their performance could suggest the character of the ancestral vertebrate categorization system from which that of primates emerged.

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Year:  2011        PMID: 21327382      PMCID: PMC3532937          DOI: 10.3758/s13423-010-0047-8

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  26 in total

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

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

2.  A neurobiological theory of automaticity in perceptual categorization.

Authors:  F Gregory Ashby; John M Ennis; Brian J Spiering
Journal:  Psychol Rev       Date:  2007-07       Impact factor: 8.934

3.  Perceived distance and the classification of distorted patterns.

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

4.  Natural concepts in pigeons.

Authors:  R J Hernstein; D H Loveland; C Cable
Journal:  J Exp Psychol Anim Behav Process       Date:  1976-10

5.  Attention and learning processes in the identification and categorization of integral stimuli.

Authors:  R M Nosofsky
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1987-01       Impact factor: 3.051

6.  Implicit and explicit category learning by macaques (Macaca mulatta) and humans (Homo sapiens).

Authors:  J David Smith; Michael J Beran; Matthew J Crossley; Joseph Boomer; F Gregory Ashby
Journal:  J Exp Psychol Anim Behav Process       Date:  2010-01

7.  Holistic and analytic modes of processing: the multiple determinants of perceptual analysis.

Authors:  C F Foard; D G Nelson
Journal:  J Exp Psychol Gen       Date:  1984-03

8.  A comparative analysis of the categorization of multidimensional stimuli: I. Unidimensional classification does not necessarily imply analytic processing; evidence from pigeons (Columba livia), squirrels (Sciurus carolinensis), and humans (Homo sapiens).

Authors:  A J Wills; Stephen E G Lea; Lisa A Leaver; Britta Osthaus; Catriona M E Ryan; Mark B Suret; Catherine M L Bryant; Sue J A Chapman; Louise Millar
Journal:  J Comp Psychol       Date:  2009-11       Impact factor: 2.231

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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  36 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.  Visual object categorization in birds and primates: integrating behavioral, neurobiological, and computational evidence within a "general process" framework.

Authors:  Fabian A Soto; Edward A Wasserman
Journal:  Cogn Affect Behav Neurosci       Date:  2012-03       Impact factor: 3.282

3.  Testing analogical rule transfer in pigeons (Columba livia).

Authors:  Muhammad A J Qadri; F Gregory Ashby; J David Smith; Robert G Cook
Journal:  Cognition       Date:  2018-11-30

4.  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

5.  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

6.  The transfer of category knowledge by macaques (Macaca mulatta) and humans (Homo sapiens).

Authors:  Alexandria C Zakrzewski; Barbara A Church; J David Smith
Journal:  J Comp Psychol       Date:  2017-12-14       Impact factor: 2.231

Review 7.  Prototypes, exemplars, and the natural history of categorization.

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

8.  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

9.  The Organization of Behavior Over Time: Insights from Mid-Session Reversal.

Authors:  Rebecca M Rayburn-Reeves; Robert G Cook
Journal:  Comp Cogn Behav Rev       Date:  2016

10.  Feedback and stimulus-offset timing effects in perceptual category learning.

Authors:  Darrell A Worthy; Arthur B Markman; W Todd Maddox
Journal:  Brain Cogn       Date:  2013-01-09       Impact factor: 2.310

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