Literature DB >> 22981878

Implicit and explicit categorization: a tale of four species.

J David Smith1, 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.   

Abstract

Categorization is essential for survival, and it is a widely studied cognitive adaptation in humans and animals. An influential neuroscience perspective differentiates in humans an explicit, rule-based categorization system from an implicit system that slowly associates response outputs to different regions of perceptual space. This perspective is being extended to study categorization in other vertebrate species, using category tasks that have a one-dimensional, rule-based solution or a two-dimensional, information-integration solution. Humans, macaques, and capuchin monkeys strongly dimensionalize perceptual stimuli and learn rule-based tasks more quickly. In sharp contrast, pigeons learn these two tasks equally quickly. Pigeons represent a cognitive system in which the commitment to dimensional analysis and category rules was not strongly made. Their results may reveal the character of the ancestral vertebrate categorization system from which that of primates emerged. The primate results establish continuity with human cognition, suggesting that nonhuman primates share aspects of humans' capacity for explicit cognition. The emergence of dimensional analysis and rule learning could have been an important step in primates' cognitive evolution.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22981878      PMCID: PMC3777558          DOI: 10.1016/j.neubiorev.2012.09.003

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  73 in total

1.  The effects of concurrent task interference on category learning: evidence for multiple category learning systems.

Authors:  E M Waldron; F G Ashby
Journal:  Psychon Bull Rev       Date:  2001-03

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

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

Review 3.  Cognitive ornithology: the evolution of avian intelligence.

Authors:  Nathan J Emery
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-01-29       Impact factor: 6.237

4.  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

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

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

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.  Humans and great apes share a large frontal cortex.

Authors:  K Semendeferi; A Lu; N Schenker; H Damasio
Journal:  Nat Neurosci       Date:  2002-03       Impact factor: 24.884

8.  Pigeons' categorization may be exclusively nonanalytic.

Authors:  J David Smith; F Gregory Ashby; Mark E Berg; Matthew S Murphy; Brian Spiering; Robert G Cook; Randolph C Grace
Journal:  Psychon Bull Rev       Date:  2011-04

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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  43 in total

1.  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

2.  The Role of Corticostriatal Systems in Speech Category Learning.

Authors:  Han-Gyol Yi; W Todd Maddox; Jeanette A Mumford; Bharath Chandrasekaran
Journal:  Cereb Cortex       Date:  2014-10-19       Impact factor: 5.357

3.  Performance Pressure Enhances Speech Learning.

Authors:  W Todd Maddox; Seth Koslov; Han-Gyol Yi; Bharath Chandrasekaran
Journal:  Appl Psycholinguist       Date:  2015-12-23

4.  Breaking the perceptual-conceptual barrier: Relational matching and working memory.

Authors:  J David Smith; Brooke N Jackson; Barbara A Church
Journal:  Mem Cognit       Date:  2019-04

5.  Task switching in rhesus macaques (Macaca mulatta) and tufted capuchin monkeys (Cebus apella) during computerized categorization tasks.

Authors:  Travis R Smith; Michael J Beran
Journal:  J Exp Psychol Anim Learn Cogn       Date:  2018-05-31       Impact factor: 2.478

6.  Feature predictiveness and selective attention in pigeons' categorization learning.

Authors:  Leyre Castro; Edward A Wasserman
Journal:  J Exp Psychol Anim Learn Cogn       Date:  2017-07       Impact factor: 2.478

7.  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

8.  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

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.  The role of age and executive function in auditory category learning.

Authors:  Rachel Reetzke; W Todd Maddox; Bharath Chandrasekaran
Journal:  J Exp Child Psychol       Date:  2015-10-22
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