Literature DB >> 22746950

How category learning affects object representations: not all morphspaces stretch alike.

Jonathan R Folstein1, Isabel Gauthier, Thomas J Palmeri.   

Abstract

How does learning to categorize objects affect how people visually perceive them? Behavioral, neurophysiological, and neuroimaging studies have tested the degree to which category learning influences object representations, with conflicting results. Some studies have found that objects become more visually discriminable along dimensions relevant to previously learned categories, while others have found no such effect. One critical factor we explore here lies in the structure of the morphspaces used in different studies. Studies finding no increase in discriminability often use blended morphspaces, with morphparents lying at corners of the space. By contrast, studies finding increases in discriminability use factorial morphspaces, defined by separate morphlines forming axes of the space. Using the same 4 morphparents, we created both factorial and blended morphspaces matched in pairwise discriminability. Category learning caused a selective increase in discriminability along the relevant dimension of the factorial space, but not in the blended space, and led to the creation of functional dimensions in the factorial space, but not in the blended space. These findings demonstrate that not all morphspaces stretch alike: Only some morphspaces support enhanced discriminability to relevant object dimensions following category learning. Our results have important implications for interpreting neuroimaging studies reporting little or no effect of category learning on object representations in the visual system: Those studies may have been limited by their use of blended morphspaces. 2012 APA, all rights reserved

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Year:  2012        PMID: 22746950      PMCID: PMC3390763          DOI: 10.1037/a0025836

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  30 in total

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Authors:  R L Goldstone; M Styvers
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2.  Visual categorization shapes feature selectivity in the primate temporal cortex.

Authors:  Natasha Sigala; Nikos K Logothetis
Journal:  Nature       Date:  2002-01-17       Impact factor: 49.962

3.  The entry point of face recognition: evidence for face expertise.

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Journal:  J Exp Psychol Gen       Date:  2001-09

4.  Unraveling mechanisms for expert object recognition: bridging brain activity and behavior.

Authors:  Isabel Gauthier; Michael J Tarr
Journal:  J Exp Psychol Hum Percept Perform       Date:  2002-04       Impact factor: 3.332

5.  Visual neurons: categorization-based selectivity.

Authors:  Isabel Gauthier; Thomas J Palmeri
Journal:  Curr Biol       Date:  2002-04-16       Impact factor: 10.834

6.  The effect of category learning on the representation of shape: dimensions can be biased but not differentiated.

Authors:  Hans Op de Beeck; Johan Wagemans; Rufin Vogels
Journal:  J Exp Psychol Gen       Date:  2003-12

7.  Acquisition of categorical color perception: a perceptual learning approach to the linguistic relativity hypothesis.

Authors:  Emre Ozgen; Ian R L Davies
Journal:  J Exp Psychol Gen       Date:  2002-12

8.  A comparison of primate prefrontal and inferior temporal cortices during visual categorization.

Authors:  David J Freedman; Maximilian Riesenhuber; Tomaso Poggio; Earl K Miller
Journal:  J Neurosci       Date:  2003-06-15       Impact factor: 6.167

9.  Formation of category representations in superior temporal sulcus.

Authors:  Marieke van der Linden; Miranda van Turennout; Peter Indefrey
Journal:  J Cogn Neurosci       Date:  2010-06       Impact factor: 3.225

Review 10.  Category learning in the brain.

Authors:  Carol A Seger; Earl K Miller
Journal:  Annu Rev Neurosci       Date:  2010       Impact factor: 12.449

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  20 in total

1.  Category learning increases discriminability of relevant object dimensions in visual cortex.

Authors:  Jonathan R Folstein; Thomas J Palmeri; Isabel Gauthier
Journal:  Cereb Cortex       Date:  2012-04-05       Impact factor: 5.357

2.  The dynamics of categorization: Unraveling rapid categorization.

Authors:  Michael L Mack; Thomas J Palmeri
Journal:  J Exp Psychol Gen       Date:  2015-05-04

3.  Modelling individual difference in visual categorization.

Authors:  Jianhong Shen; Thomas J Palmeri
Journal:  Vis cogn       Date:  2016-11-10

Review 4.  Knowledge is power: how conceptual knowledge transforms visual cognition.

Authors:  Jessica A Collins; Ingrid R Olson
Journal:  Psychon Bull Rev       Date:  2014-08

Review 5.  Model-guided search for optimal natural-science-category training exemplars: A work in progress.

Authors:  Robert M Nosofsky; Craig A Sanders; Xiaojin Zhu; Mark A McDaniel
Journal:  Psychon Bull Rev       Date:  2019-02

Review 6.  Categorization = decision making + generalization.

Authors:  Carol A Seger; Erik J Peterson
Journal:  Neurosci Biobehav Rev       Date:  2013-03-30       Impact factor: 8.989

7.  Categorization training changes the visual representation of face identity.

Authors:  Fabian A Soto
Journal:  Atten Percept Psychophys       Date:  2019-07       Impact factor: 2.199

8.  Logical-rules and the classification of integral dimensions: individual differences in the processing of arbitrary dimensions.

Authors:  Anthea G Blunden; Tony Wang; David W Griffiths; Daniel R Little
Journal:  Front Psychol       Date:  2015-01-09

9.  Category Learning Stretches Neural Representations in Visual Cortex.

Authors:  Jonathan Folstein; Thomas J Palmeri; Ana E Van Gulick; Isabel Gauthier
Journal:  Curr Dir Psychol Sci       Date:  2015-02

10.  The perceptual effects of learning object categories that predict perceptual goals.

Authors:  Ana E Van Gulick; Isabel Gauthier
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2014-05-12       Impact factor: 3.051

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