Literature DB >> 20572771

Category learning in the brain.

Carol A Seger1, Earl K Miller.   

Abstract

The ability to group items and events into functional categories is a fundamental characteristic of sophisticated thought. It is subserved by plasticity in many neural systems, including neocortical regions (sensory, prefrontal, parietal, and motor cortex), the medial temporal lobe, the basal ganglia, and midbrain dopaminergic systems. These systems interact during category learning. Corticostriatal loops may mediate recursive, bootstrapping interactions between fast reward-gated plasticity in the basal ganglia and slow reward-shaded plasticity in the cortex. This can provide a balance between acquisition of details of experiences and generalization across them. Interactions between the corticostriatal loops can integrate perceptual, response, and feedback-related aspects of the task and mediate the shift from novice to skilled performance. The basal ganglia and medial temporal lobe interact competitively or cooperatively, depending on the demands of the learning task.

Entities:  

Mesh:

Year:  2010        PMID: 20572771      PMCID: PMC3709834          DOI: 10.1146/annurev.neuro.051508.135546

Source DB:  PubMed          Journal:  Annu Rev Neurosci        ISSN: 0147-006X            Impact factor:   12.449


  116 in total

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Authors:  Rahmat Muhammad; Jonathan D Wallis; Earl K Miller
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Review 2.  Basal ganglia and dopamine contributions to probabilistic category learning.

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4.  Distributed but convergent ordering of corticostriatal projections: analysis of the frontal eye field and the supplementary eye field in the macaque monkey.

Authors:  H B Parthasarathy; J D Schall; A M Graybiel
Journal:  J Neurosci       Date:  1992-11       Impact factor: 6.167

Review 5.  Distributed modular architectures linking basal ganglia, cerebellum, and cerebral cortex: their role in planning and controlling action.

Authors:  J C Houk; S P Wise
Journal:  Cereb Cortex       Date:  1995 Mar-Apr       Impact factor: 5.357

6.  Integrating memories in the human brain: hippocampal-midbrain encoding of overlapping events.

Authors:  Daphna Shohamy; Anthony D Wagner
Journal:  Neuron       Date:  2008-10-23       Impact factor: 17.173

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

Authors:  Carol A Seger; Erik J Peterson; Corinna M Cincotta; Dan Lopez-Paniagua; Charles W Anderson
Journal:  Neuroimage       Date:  2009-12-05       Impact factor: 6.556

8.  Dissociable forms of inhibitory control within prefrontal cortex with an analog of the Wisconsin Card Sort Test: restriction to novel situations and independence from "on-line" processing.

Authors:  R Dias; T W Robbins; A C Roberts
Journal:  J Neurosci       Date:  1997-12-01       Impact factor: 6.167

Review 9.  Probabilistic categorization: how do normal participants and amnesic patients do it?

Authors:  M Meeter; G Radics; C E Myers; M A Gluck; R O Hopkins
Journal:  Neurosci Biobehav Rev       Date:  2007-11-19       Impact factor: 8.989

10.  Differential Effects of Regulatory Fit on Category Learning.

Authors:  Lisa R Grimm; Arthur B Markman; W Todd Maddox; Grant C Baldwin
Journal:  J Exp Soc Psychol       Date:  2008-05
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  127 in total

Review 1.  The Biology of Forgetting-A Perspective.

Authors:  Ronald L Davis; Yi Zhong
Journal:  Neuron       Date:  2017-08-02       Impact factor: 17.173

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

Authors:  Jonathan R Folstein; Thomas J Palmeri; Isabel Gauthier
Journal:  Cereb Cortex       Date:  2012-04-05       Impact factor: 5.357

3.  The dynamics of change in striatal activity following updating training.

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Review 4.  Adaptation, expertise, and giftedness: towards an understanding of cortical, subcortical, and cerebellar network contributions.

Authors:  Leonard F Koziol; Deborah Ely Budding; Dana Chidekel
Journal:  Cerebellum       Date:  2010-12       Impact factor: 3.847

5.  Distinct dynamics of ramping activity in the frontal cortex and caudate nucleus in monkeys.

Authors:  Long Ding
Journal:  J Neurophysiol       Date:  2015-07-29       Impact factor: 2.714

6.  Differential regional decline in dopamine receptor availability across adulthood: Linear and nonlinear effects of age.

Authors:  Kendra L Seaman; Christopher T Smith; Eric J Juarez; Linh C Dang; Jaime J Castrellon; Leah L Burgess; M Danica San Juan; Paul M Kundzicz; Ronald L Cowan; David H Zald; Gregory R Samanez-Larkin
Journal:  Hum Brain Mapp       Date:  2019-04-01       Impact factor: 5.038

7.  Influence of highly distinctive structural properties on the excitability of pyramidal neurons in monkey visual and prefrontal cortices.

Authors:  Joseph M Amatrudo; Christina M Weaver; Johanna L Crimins; Patrick R Hof; Douglas L Rosene; Jennifer I Luebke
Journal:  J Neurosci       Date:  2012-10-03       Impact factor: 6.167

8.  The C957T polymorphism in the dopamine receptor D₂ gene modulates domain-general category learning.

Authors:  Zilong Xie; W Todd Maddox; John E McGeary; Bharath Chandrasekaran
Journal:  J Neurophysiol       Date:  2015-03-11       Impact factor: 2.714

9.  Frontoparietal networks involved in categorization and item working memory.

Authors:  Kurt Braunlich; Javier Gomez-Lavin; Carol A Seger
Journal:  Neuroimage       Date:  2014-12-04       Impact factor: 6.556

10.  Increases in functional connectivity between prefrontal cortex and striatum during category learning.

Authors:  Evan G Antzoulatos; Earl K Miller
Journal:  Neuron       Date:  2014-06-12       Impact factor: 17.173

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