Literature DB >> 20304078

Interactions between declarative and procedural-learning categorization systems.

F Gregory Ashby1, Matthew J Crossley.   

Abstract

Two experiments tested whether declarative and procedural memory systems operate independently or inhibit each other during perceptual categorization. Both experiments used a hybrid category-learning task in which perfect accuracy could be achieved if a declarative strategy is used on some trials and a procedural strategy is used on others. In the two experiments, only 2 of 53 participants learned a strategy of this type. In Experiment 1, most participants appeared to use simple explicit rules, even though control participants reliably learned the procedural component of the hybrid task. In Experiment 2, participants pre-trained either with the declarative or procedural component and then transferred to the hybrid categories. Despite this extra training, no participants in either group learned to categorize the hybrid stimuli with a strategy of the optimal type. These results are inconsistent with the most prominent single- and multiple-system accounts of category learning. They also cannot be explained by knowledge partitioning, or by the hypothesis that the failure to learn was due to high switch costs. Instead, these results support the hypothesis that declarative and procedural memory systems interact during category learning.

Entities:  

Mesh:

Year:  2010        PMID: 20304078      PMCID: PMC2881184          DOI: 10.1016/j.nlm.2010.03.001

Source DB:  PubMed          Journal:  Neurobiol Learn Mem        ISSN: 1074-7427            Impact factor:   2.877


  52 in total

1.  Characterizing the neural mechanisms of skill learning and repetition priming: evidence from mirror reading.

Authors:  R A Poldrack; J D Gabrieli
Journal:  Brain       Date:  2001-01       Impact factor: 13.501

2.  Suboptimality in human categorization and identification.

Authors:  F G Ashby; E M Waldron; W W Lee; A Berkman
Journal:  J Exp Psychol Gen       Date:  2001-03

3.  Knowledge partitioning: context-dependent use of expertise.

Authors:  S Lewandowsky; K Kirsner
Journal:  Mem Cognit       Date:  2000-03

4.  Exemplar-based accounts of "multiple-system" phenomena in perceptual categorization.

Authors:  R M Nosofsky; M K Johansen
Journal:  Psychon Bull Rev       Date:  2000-09

5.  The effects of concurrent task interference on category learning: evidence for multiple category learning systems.

Authors:  E M Waldron; F G Ashby
Journal:  Psychon Bull Rev       Date:  2001-03

6.  The role of the striatum and hippocampus in planning: a PET activation study in Parkinson's disease.

Authors:  A Dagher; A M Owen; H Boecker; D J Brooks
Journal:  Brain       Date:  2001-05       Impact factor: 13.501

7.  Post-training reversible inactivation of hippocampus reveals interference between memory systems.

Authors:  Jason P Schroeder; Jeffrey C Wingard; Mark G Packard
Journal:  Hippocampus       Date:  2002       Impact factor: 3.899

8.  Executive attention and task switching in category learning: evidence for stimulus-dependent representation.

Authors:  Michael A Erickson
Journal:  Mem Cognit       Date:  2008-06

9.  Response processes in information-integration category learning.

Authors:  Brian J Spiering; F Gregory Ashby
Journal:  Neurobiol Learn Mem       Date:  2008-06-11       Impact factor: 2.877

10.  Quantitative modeling of category learning in amnesic patients.

Authors:  J V Filoteo; W T Maddox; J D Davis
Journal:  J Int Neuropsychol Soc       Date:  2001-01       Impact factor: 2.892

View more
  26 in total

Review 1.  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

2.  Categorization system-switching deficits in typical aging and Parkinson's disease.

Authors:  Sébastien Hélie; Madison Fansher
Journal:  Neuropsychology       Date:  2018-06-28       Impact factor: 3.295

Review 3.  A matched filter hypothesis for cognitive control.

Authors:  Evangelia G Chrysikou; Matthew J Weber; Sharon L Thompson-Schill
Journal:  Neuropsychologia       Date:  2013-11-05       Impact factor: 3.139

4.  Cortical and striatal contributions to automaticity in information-integration categorization.

Authors:  Jennifer G Waldschmidt; F Gregory Ashby
Journal:  Neuroimage       Date:  2011-02-18       Impact factor: 6.556

5.  Information-integration category learning and the human uncertainty response.

Authors:  Erick J Paul; Joseph Boomer; J David Smith; F Gregory Ashby
Journal:  Mem Cognit       Date:  2011-04

6.  Prior experience with negative spectral correlations promotes information integration during auditory category learning.

Authors:  Mathias Scharinger; Molly J Henry; Jonas Obleser
Journal:  Mem Cognit       Date:  2013-07

Review 7.  Categorization = decision making + generalization.

Authors:  Carol A Seger; Erik J Peterson
Journal:  Neurosci Biobehav Rev       Date:  2013-03-30       Impact factor: 8.989

8.  Posterror slowing predicts rule-based but not information-integration category learning.

Authors:  Helen Tam; W Todd Maddox; Cynthia L Huang-Pollock
Journal:  Psychon Bull Rev       Date:  2013-12

9.  Trial-by-trial identification of categorization strategy using iterative decision-bound modeling.

Authors:  Sébastien Hélie; Benjamin O Turner; Matthew J Crossley; Shawn W Ell; F Gregory Ashby
Journal:  Behav Res Methods       Date:  2017-06

10.  Feedback and stimulus-offset timing effects in perceptual category learning.

Authors:  Darrell A Worthy; Arthur B Markman; W Todd Maddox
Journal:  Brain Cogn       Date:  2013-01-09       Impact factor: 2.310

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.