Literature DB >> 22490547

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

Jonathan R Folstein1, Thomas J Palmeri, Isabel Gauthier.   

Abstract

Learning to categorize objects can transform how they are perceived, causing relevant perceptual dimensions predictive of object category to become enhanced. For example, an expert mycologist might become attuned to species-specific patterns of spacing between mushroom gills but learn to ignore cap textures attributable to varying environmental conditions. These selective changes in perception can persist beyond the act of categorizing objects and influence our ability to discriminate between them. Using functional magnetic resonance imaging adaptation, we demonstrate that such category-specific perceptual enhancements are associated with changes in the neural discriminability of object representations in visual cortex. Regions within the anterior fusiform gyrus became more sensitive to small variations in shape that were relevant during prior category learning. In addition, extrastriate occipital areas showed heightened sensitivity to small variations in shape that spanned the category boundary. Visual representations in cortex, just like our perception, are sensitive to an object's history of categorization.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22490547      PMCID: PMC3593573          DOI: 10.1093/cercor/bhs067

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  47 in total

1.  Hierarchical models of object recognition in cortex.

Authors:  M Riesenhuber; T Poggio
Journal:  Nat Neurosci       Date:  1999-11       Impact factor: 24.884

Review 2.  The development of features in object concepts.

Authors:  P G Schyns; R L Goldstone; J P Thibaut
Journal:  Behav Brain Sci       Date:  1998-02       Impact factor: 12.579

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.  The neural basis for novel semantic categorization.

Authors:  Phyllis Koenig; Edward E Smith; Guila Glosser; Chris DeVita; Peachie Moore; Corey McMillan; Jim Gee; Murray Grossman
Journal:  Neuroimage       Date:  2004-12-10       Impact factor: 6.556

5.  Selective and divided attention during visual discriminations of shape, color, and speed: functional anatomy by positron emission tomography.

Authors:  M Corbetta; F M Miezin; S Dobmeyer; G L Shulman; S E Petersen
Journal:  J Neurosci       Date:  1991-08       Impact factor: 6.167

6.  Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): use of a cluster-size threshold.

Authors:  S D Forman; J D Cohen; M Fitzgerald; W F Eddy; M A Mintun; D C Noll
Journal:  Magn Reson Med       Date:  1995-05       Impact factor: 4.668

7.  Attention, similarity, and the identification-categorization relationship.

Authors:  R M Nosofsky
Journal:  J Exp Psychol Gen       Date:  1986-03

8.  Influences of categorization on perceptual discrimination.

Authors:  R Goldstone
Journal:  J Exp Psychol Gen       Date:  1994-06

Review 9.  Dual-task interference in simple tasks: data and theory.

Authors:  H Pashler
Journal:  Psychol Bull       Date:  1994-09       Impact factor: 17.737

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

View more
  47 in total

1.  Value is in the eye of the beholder: early visual cortex codes monetary value of objects during a diverted attention task.

Authors:  Andrew S Persichetti; Geoffrey K Aguirre; Sharon L Thompson-Schill
Journal:  J Cogn Neurosci       Date:  2014-11-12       Impact factor: 3.225

2.  Category learning in Alzheimer's disease and normal cognitive aging depends on initial experience of feature variability.

Authors:  Jeffrey S Phillips; Corey T McMillan; Edward E Smith; Murray Grossman
Journal:  Neuropsychologia       Date:  2016-07-06       Impact factor: 3.139

3.  The dynamics of categorization: Unraveling rapid categorization.

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

4.  Category structure guides the formation of neural representations.

Authors:  Daniel J Plebanek; Karin H James
Journal:  Exp Brain Res       Date:  2021-03-29       Impact factor: 1.972

5.  A key role for stimulus-specific updating of the sensory cortices in the learning of stimulus-reward associations.

Authors:  Berry van den Berg; Benjamin R Geib; Rene San Martín; Marty G Woldorff
Journal:  Soc Cogn Affect Neurosci       Date:  2019-02-13       Impact factor: 3.436

6.  Modelling individual difference in visual categorization.

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

Review 7.  Object processing in the infant: lessons from neuroscience.

Authors:  Teresa Wilcox; Marisa Biondi
Journal:  Trends Cogn Sci       Date:  2015-05-22       Impact factor: 20.229

Review 8.  Knowledge is power: how conceptual knowledge transforms visual cognition.

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

9.  Categorical learning revealed in activity pattern of left fusiform cortex.

Authors:  Jessica E Goold; Ming Meng
Journal:  Hum Brain Mapp       Date:  2017-04-22       Impact factor: 5.038

10.  Decoding the brain's algorithm for categorization from its neural implementation.

Authors:  Michael L Mack; Alison R Preston; Bradley C Love
Journal:  Curr Biol       Date:  2013-10-03       Impact factor: 10.834

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.