Literature DB >> 16436685

Neural correlates of rule-based and information-integration visual category learning.

E M Nomura1, W T Maddox, J V Filoteo, A D Ing, D R Gitelman, T B Parrish, M-M Mesulam, P J Reber.   

Abstract

An emerging theory of the neurobiology of category learning postulates that there are separate neural systems supporting the learning of categories based on verbalizeable rules (RB) or through implicit information integration (II). The medial temporal lobe (MTL) is thought to play a crucial role in successful RB categorization, whereas the posterior regions of the caudate are hypothesized to support II categorization. Functional neuroimaging was used to assess activity in these systems during category-learning tasks with category structures designed to afford either RB or II learning. Successful RB categorization was associated with relatively increased activity in the anterior MTL. Successful II categorization was associated with increased activity in the caudate body. The dissociation observed with neuroimaging is consistent with the roles of these systems in memory and dissociations reported in patient populations. Convergent evidence from these approaches consistently reinforces the idea of multiple neural systems supporting category learning.

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Year:  2006        PMID: 16436685     DOI: 10.1093/cercor/bhj122

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


  98 in total

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9.  Infants' Visual Recognition Memory for a Series of Categorically Related Items.

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10.  Dissociating the contributions of independent corticostriatal systems to visual categorization learning through the use of reinforcement learning modeling and Granger causality modeling.

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