Literature DB >> 19052210

Dissociable prototype learning systems: evidence from brain imaging and behavior.

Dagmar Zeithamova1, W Todd Maddox, David M Schnyer.   

Abstract

The neural underpinnings of prototype learning are not well understood. A major source of confusion is that two versions of the prototype learning task have been used interchangeably in the literature; one where participants learn to categorize exemplars derived from two prototypes (A/B task), and one where participants learn to categorize exemplars derived from one prototype and noncategorical exemplars (A/non-A). We report results from an fMRI study of A/B and A/non-A prototype learning that allows for a direct contrast of the two learning methods. Accuracy in the two tasks did not correlate within subject despite equivalent average difficulty. The fMRI results revealed neural activation in a network of regions consistent with episodic memory retrieval for the A/B task while greater activation of a nondeclarative learning network was observed for the A/non-A task. The results demonstrate that learning in these two tasks is mediated by different neural systems and that recruitment of each system is dictated by the context of learning rather than the actual category structure.

Entities:  

Mesh:

Year:  2008        PMID: 19052210      PMCID: PMC2605650          DOI: 10.1523/JNEUROSCI.2915-08.2008

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  32 in total

1.  Complementary category learning systems identified using event-related functional MRI.

Authors:  H J Aizenstein; A W MacDonald; V A Stenger; R D Nebes; J K Larson; S Ursu; C S Carter
Journal:  J Cogn Neurosci       Date:  2000-11       Impact factor: 3.225

2.  Intact prototype learning in schizophrenia.

Authors:  S Kéri; O Kelemen; G Benedek; Z Janka
Journal:  Schizophr Res       Date:  2001-12-01       Impact factor: 4.939

3.  Are Alzheimer's disease patients able to learn visual prototypes?

Authors:  S Kéri; J Kálmán; O Kelemen; G Benedek; Z Janka
Journal:  Neuropsychologia       Date:  2001       Impact factor: 3.139

4.  Improved optimization for the robust and accurate linear registration and motion correction of brain images.

Authors:  Mark Jenkinson; Peter Bannister; Michael Brady; Stephen Smith
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

5.  Human brain regions involved in visual categorization.

Authors:  Rufin Vogels; Gyula Sary; Patrick Dupont; Guy A Orban
Journal:  Neuroimage       Date:  2002-06       Impact factor: 6.556

6.  Interactive memory systems in the human brain.

Authors:  R A Poldrack; J Clark; E J Paré-Blagoev; D Shohamy; J Creso Moyano; C Myers; M A Gluck
Journal:  Nature       Date:  2001-11-29       Impact factor: 49.962

7.  Striatal activity in concept learning.

Authors:  Carol A Seger; Corinna M Cincotta
Journal:  Cogn Affect Behav Neurosci       Date:  2002-06       Impact factor: 3.282

8.  Hemispheric asymmetries and individual differences in visual concept learning as measured by functional MRI.

Authors:  C A Seger; R A Poldrack; V Prabhakaran; M Zhao; G H Glover; J D Gabrieli
Journal:  Neuropsychologia       Date:  2000       Impact factor: 3.139

Review 9.  Learning and memory functions of the Basal Ganglia.

Authors:  Mark G Packard; Barbara J Knowlton
Journal:  Annu Rev Neurosci       Date:  2002-03-27       Impact factor: 12.449

Review 10.  Fast robust automated brain extraction.

Authors:  Stephen M Smith
Journal:  Hum Brain Mapp       Date:  2002-11       Impact factor: 5.038

View more
  50 in total

1.  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

Review 2.  Human category learning 2.0.

Authors:  F Gregory Ashby; W Todd Maddox
Journal:  Ann N Y Acad Sci       Date:  2010-12-23       Impact factor: 5.691

3.  An Examination of Strategy Implementation During Abstract Nonlinguistic Category Learning in Aphasia.

Authors:  Sofia Vallila-Rohter; Swathi Kiran
Journal:  J Speech Lang Hear Res       Date:  2015-08-01       Impact factor: 2.297

4.  Generalization in category learning: the roles of representational and decisional uncertainty.

Authors:  Carol A Seger; Kurt Braunlich; Hillary S Wehe; Zhiya Liu
Journal:  J Neurosci       Date:  2015-06-10       Impact factor: 6.167

5.  Performance Pressure Enhances Speech Learning.

Authors:  W Todd Maddox; Seth Koslov; Han-Gyol Yi; Bharath Chandrasekaran
Journal:  Appl Psycholinguist       Date:  2015-12-23

Review 6.  What's statistical about learning? Insights from modelling statistical learning as a set of memory processes.

Authors:  Erik D Thiessen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-01-05       Impact factor: 6.237

7.  On the Role of Cortex-Basal Ganglia Interactions for Category Learning: A Neurocomputational Approach.

Authors:  Francesc Villagrasa; Javier Baladron; Julien Vitay; Henning Schroll; Evan G Antzoulatos; Earl K Miller; Fred H Hamker
Journal:  J Neurosci       Date:  2018-09-18       Impact factor: 6.167

8.  Ventromedial Prefrontal Cortex Is Necessary for Normal Associative Inference and Memory Integration.

Authors:  Kelsey N Spalding; Margaret L Schlichting; Dagmar Zeithamova; Alison R Preston; Daniel Tranel; Melissa C Duff; David E Warren
Journal:  J Neurosci       Date:  2018-03-19       Impact factor: 6.167

9.  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

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.