Literature DB >> 20684660

Re-evaluating dissociations between implicit and explicit category learning: an event-related fMRI study.

Todd M Gureckis1, Thomas W James, Robert M Nosofsky.   

Abstract

Recent fMRI studies have found that distinct neural systems may mediate perceptual category learning under implicit and explicit learning conditions. In these previous studies, however, different stimulus-encoding processes may have been associated with implicit versus explicit learning. The present design was aimed at decoupling the influence of these factors on the recruitment of alternate neural systems. Consistent with previous reports, following incidental learning in a dot-pattern classification task, participants showed decreased neural activity in occipital visual cortex (extrastriate region V3, BA 19) in response to novel exemplars of a studied category compared to members of a foil category, but did not show this decreased neural activity following explicit learning. Crucially, however, our results show that this pattern was primarily modulated by aspects of the stimulus-encoding instructions provided at the time of study. In particular, when participants in an implicit learning condition were encouraged to evaluate the overall shape and configuration of the stimuli during study, we failed to find the pattern of brain activity that has been taken to be a signature of implicit learning, suggesting that activity in this area does not uniquely reflect implicit memory for perceptual categories but instead may reflect aspects of processing or perceptual encoding strategies.

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Year:  2010        PMID: 20684660     DOI: 10.1162/jocn.2010.21538

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


  11 in total

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

Authors:  Robert M Nosofsky; Daniel R Little; Thomas W James
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
Journal:  Cereb Cortex       Date:  2012-04-05       Impact factor: 5.357

3.  Episodic and prototype models of category learning.

Authors:  Richard J Tunney; Gordon Fernie
Journal:  Cogn Process       Date:  2011-04-10

4.  The effect of encoding conditions on learning in the prototype distortion task.

Authors:  Jessica C Lee; Evan J Livesey
Journal:  Learn Behav       Date:  2017-06       Impact factor: 1.986

5.  Age-related declines in the fidelity of newly acquired category representations.

Authors:  Tyler Davis; Bradley C Love; W Todd Maddox
Journal:  Learn Mem       Date:  2012-07-18       Impact factor: 2.460

6.  Studies of implicit prototype extraction in patients with mild cognitive impairment and early Alzheimer's disease.

Authors:  Robert M Nosofsky; Stephen E Denton; Safa R Zaki; Anne F Murphy-Knudsen; Frederick W Unverzagt
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2012-07       Impact factor: 3.051

7.  A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning.

Authors:  Roman F Loonis; Scott L Brincat; Evan G Antzoulatos; Earl K Miller
Journal:  Neuron       Date:  2017-10-11       Impact factor: 17.173

8.  Procedural memory effects in categorization: evidence for multiple systems or task complexity?

Authors:  Safa R Zaki; Dave F Kleinschmidt
Journal:  Mem Cognit       Date:  2014-04

Review 9.  Stochastic accumulation of feature information in perception and memory.

Authors:  Christopher Kent; Duncan Guest; James S Adelman; Koen Lamberts
Journal:  Front Psychol       Date:  2014-05-12

10.  Neural substrates of similarity and rule-based strategies in judgment.

Authors:  Bettina von Helversen; Linnea Karlsson; Björn Rasch; Jörg Rieskamp
Journal:  Front Hum Neurosci       Date:  2014-10-15       Impact factor: 3.169

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