Literature DB >> 10443769

Learning about categories that are defined by object-like stimuli despite impaired declarative memory.

J M Reed1, L R Squire, A L Patalano, E E Smith, J Jonides.   

Abstract

Exposure to members of a category facilitates later categorization of similar but novel instances of the category. Past studies have suggested that category knowledge can be acquired implicitly and independently of declarative memory. However, these studies have relied on dot pattern stimuli that, unlike most real-world objects, are difficult to verbalize and cannot be broken into component features. It is therefore unclear how relevant such studies are to an understanding of everyday categorization. In the present studies, category learning in amnesic patients was tested with stimuli that both exhibit discrete features and are easy to describe (namely, cartoon animals). Amnesic patients were as competent as healthy volunteers in learning to categorize these animals, despite their impairment in recalling the animals' features. The results suggest that the implicit acquisition of category knowledge is a common process in everyday experience, and that it can occur whenever individuals encounter a large group of related items.

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Mesh:

Year:  1999        PMID: 10443769     DOI: 10.1037//0735-7044.113.3.411

Source DB:  PubMed          Journal:  Behav Neurosci        ISSN: 0735-7044            Impact factor:   1.912


  26 in total

1.  An electrophysiological comparison of visual categorization and recognition memory.

Authors:  Tim Curran; James W Tanaka; Daniel M Weiskopf
Journal:  Cogn Affect Behav Neurosci       Date:  2002-03       Impact factor: 3.282

2.  A single-system interpretation of dissociations between recognition and categorization in a task involving object-like stimuli.

Authors:  S R Zaki; R M Nosofsky
Journal:  Cogn Affect Behav Neurosci       Date:  2001-12       Impact factor: 3.282

3.  PET evidence for multiple strategies of categorization.

Authors:  A L Patalano; E E Smith; J Jonides; R A Koeppe
Journal:  Cogn Affect Behav Neurosci       Date:  2001-12       Impact factor: 3.282

4.  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

Review 5.  Models in search of a brain.

Authors:  Bradley C Love; Todd M Gureckis
Journal:  Cogn Affect Behav Neurosci       Date:  2007-06       Impact factor: 3.282

6.  Feedback interference and dissociations of classification: evidence against the multiple-learning-systems hypothesis.

Authors:  Roger D Stanton; Robert M Nosofsky
Journal:  Mem Cognit       Date:  2007-10

Review 7.  Basal ganglia and dopamine contributions to probabilistic category learning.

Authors:  D Shohamy; C E Myers; J Kalanithi; M A Gluck
Journal:  Neurosci Biobehav Rev       Date:  2007-08-10       Impact factor: 8.989

8.  The divergent autoencoder (DIVA) model of category learning.

Authors:  Kenneth J Kutrz
Journal:  Psychon Bull Rev       Date:  2007-08

9.  Procedural interference in perceptual classification: implicit learning or cognitive complexity?

Authors:  Robert M Nosofsky; Roger D Stanton; Safa R Zaki
Journal:  Mem Cognit       Date:  2005-10

10.  A high-distortion enhancement effect in the prototype-learning paradigm: dramatic effects of category learning during test.

Authors:  Safa R Zaki; Robeir M Nosofsky
Journal:  Mem Cognit       Date:  2007-12
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