Literature DB >> 25745280

Category Learning Stretches Neural Representations in Visual Cortex.

Jonathan Folstein1, Thomas J Palmeri2, Ana E Van Gulick2, Isabel Gauthier2.   

Abstract

We review recent work that shows how learning to categorize objects changes how those objects are represented in the mind and the brain. After category learning, visual perception of objects is enhanced along perceptual dimensions that were relevant to the learned categories, an effect we call dimensional modulation (DM). DM stretches object representations along category-relevant dimensions and shrinks them along category-irrelevant dimensions. The perceptual advantage for category-relevant dimensions extends beyond categorization and can be observed during visual discrimination and other tasks that do not depend on the learned categories. fMRI shows that category learning causes ventral stream neural populations in visual cortex representing objects along a category-relevant dimension to become more distinct. These results are consistent with a view that specific aspects of cognitive tasks associated with objects can account for how our visual system responds to objects.

Entities:  

Keywords:  Categorization; Category Learning; Face Recognition; Perceptual Learning; fMRI

Year:  2015        PMID: 25745280      PMCID: PMC4346144          DOI: 10.1177/0963721414550707

Source DB:  PubMed          Journal:  Curr Dir Psychol Sci        ISSN: 0963-7214


  32 in total

1.  The sensitization and differentiation of dimensions during category learning.

Authors:  R L Goldstone; M Styvers
Journal:  J Exp Psychol Gen       Date:  2001-03

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 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

4.  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

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

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

6.  Categorization training results in shape- and category-selective human neural plasticity.

Authors:  Xiong Jiang; Evan Bradley; Regina A Rini; Thomas Zeffiro; John Vanmeter; Maximilian Riesenhuber
Journal:  Neuron       Date:  2007-03-15       Impact factor: 17.173

7.  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

8.  The structure of integral dimensions: contrasting topological and Cartesian representations.

Authors:  Matt Jones; Robert L Goldstone
Journal:  J Exp Psychol Hum Percept Perform       Date:  2012-07-16       Impact factor: 3.332

9.  The nature of experience determines object representations in the visual system.

Authors:  Yetta K Wong; Jonathan R Folstein; Isabel Gauthier
Journal:  J Exp Psychol Gen       Date:  2012-04-02

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

Authors:  Jonathan R Folstein; Isabel Gauthier; Thomas J Palmeri
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2012-07       Impact factor: 3.051

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  10 in total

1.  Modelling individual difference in visual categorization.

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

2.  Category-Biased Neural Representations Form Spontaneously during Learning That Emphasizes Memory for Specific Instances.

Authors:  Stefania R Ashby; Dagmar Zeithamova
Journal:  J Neurosci       Date:  2021-12-22       Impact factor: 6.709

3.  Integrating unsupervised and reinforcement learning in human categorical perception: A computational model.

Authors:  Giovanni Granato; Emilio Cartoni; Federico Da Rold; Andrea Mattera; Gianluca Baldassarre
Journal:  PLoS One       Date:  2022-05-10       Impact factor: 3.752

4.  Mutual Information and Categorical Perception.

Authors:  Jacob Feldman
Journal:  Psychol Sci       Date:  2021-07-20

5.  Reading Increases the Compositionality of Visual Word Representations.

Authors:  Aakash Agrawal; K V S Hari; S P Arun
Journal:  Psychol Sci       Date:  2019-11-07

6.  Category learning can alter perception and its neural correlates.

Authors:  Fernanda Pérez-Gay Juárez; Tomy Sicotte; Christian Thériault; Stevan Harnad
Journal:  PLoS One       Date:  2019-12-06       Impact factor: 3.240

7.  Adaptation aftereffects reveal how categorization training changes the encoding of face identity.

Authors:  Fabian A Soto; Karla Escobar; Jefferson Salan
Journal:  J Vis       Date:  2020-10-01       Impact factor: 2.240

8.  Early Visual Processing and Perception Processes in Object Discrimination Learning.

Authors:  Matías Quiñones; David Gómez; Rodrigo Montefusco-Siegmund; María de la Luz Aylwin
Journal:  Front Neurosci       Date:  2021-01-28       Impact factor: 4.677

9.  Greater discrimination difficulty during perceptual learning leads to stronger and more distinct representations.

Authors:  Vencislav Popov; Lynne M Reder
Journal:  Psychon Bull Rev       Date:  2020-08

10.  Occipitotemporal representations reflect individual differences in conceptual knowledge.

Authors:  Kurt Braunlich; Bradley C Love
Journal:  J Exp Psychol Gen       Date:  2018-11-01
  10 in total

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