4.6 Article

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

Journal

CEREBRAL CORTEX
Volume 17, Issue 1, Pages 37-43

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bhj122

Keywords

category learning; caudate; explicit; fMRI; implicit; medial temporal lobe

Categories

Funding

  1. NATIONAL INSTITUTE OF MENTAL HEALTH [R01MH058748] Funding Source: NIH RePORTER
  2. NATIONAL INSTITUTE ON AGING [T32AG020418] Funding Source: NIH RePORTER
  3. NIA NIH HHS [T32 AG020418] Funding Source: Medline
  4. NIMH NIH HHS [R01-MH58748] Funding Source: Medline

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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 (FIB) 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 11 categorization. Functional neuroimaging was used to assess activity in these systems during category-learning tasks with category structures designed to afford either RB or 11 learning. Successful RB categorization was associated with relatively increased activity in the anterior MTL. Successful 11 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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