Literature DB >> 12803968

Dissociating explicit and implicit category knowledge with fMRI.

Paul J Reber1, Darren R Gitelman, Todd B Parrish, M Marsel Mesulam.   

Abstract

Neuroimaging of healthy volunteers identified separate neural systems supporting the expression of category knowledge depending on whether the learning mode was intentional or incidental. The same visual category was learned either intentionally or implicitly by two separate groupsof participants. During a categorization test, functional magnetic resonance imaging (fMRI) was used to compare brain activity evoked by category members and nonmembers. After implicit learning, when participants had learned the category incidentally, decreased occipital activity was observed for novel categorical stimuli compared with noncategorical stimuli. In contrast, after intentional learning, novel categorical stimuli evoked increased activity in the hippocampus, right prefrontal cortex, left inferior temporal cortex, precuneus, and posterior cingulate. Even though the categorization test was identical in the two conditions, the differences in brain activity indicate differing representations of category knowledge depending on whether the category had been learned intentionally or implicitly.

Entities:  

Mesh:

Year:  2003        PMID: 12803968     DOI: 10.1162/089892903321662958

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  60 in total

1.  Activation in the neural network responsible for categorization and recognition reflects parameter changes.

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Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-19       Impact factor: 11.205

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

Authors:  Jonathan R Folstein; Thomas J Palmeri; Isabel Gauthier
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3.  Computational Models Inform Clinical Science and Assessment: An Application to Category Learning in Striatal-Damaged Patients.

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

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Journal:  Neuropsychologia       Date:  2016-07-06       Impact factor: 3.139

5.  Perception of phrase structure in music.

Authors:  Thomas R Knösche; Christiane Neuhaus; Jens Haueisen; Kai Alter; Burkhard Maess; Otto W Witte; Angela D Friederici
Journal:  Hum Brain Mapp       Date:  2005-04       Impact factor: 5.038

6.  Spontaneous processing of abstract categorical information in the ventrolateral prefrontal cortex.

Authors:  Yale E Cohen; Marc D Hauser; Brian E Russ
Journal:  Biol Lett       Date:  2006-06-22       Impact factor: 3.703

7.  Distinct mechanisms in visual category learning.

Authors:  Joe DeGutis; Mark D'Esposito
Journal:  Cogn Affect Behav Neurosci       Date:  2007-09       Impact factor: 3.282

8.  Feedback interference and dissociations of classification: evidence against the multiple-learning-systems hypothesis.

Authors:  Roger D Stanton; Robert M Nosofsky
Journal:  Mem Cognit       Date:  2007-10

Review 9.  Basal ganglia and dopamine contributions to probabilistic category learning.

Authors:  D Shohamy; C E Myers; J Kalanithi; M A Gluck
Journal:  Neurosci Biobehav Rev       Date:  2007-08-10       Impact factor: 8.989

10.  Initial training with difficult items facilitates information integration, but not rule-based category learning.

Authors:  Brian J Spiering; F Gregory Ashby
Journal:  Psychol Sci       Date:  2008-11
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