Literature DB >> 17707363

Individual differences in category learning: sometimes less working memory capacity is better than more.

Marci S Decaro1, Robin D Thomas, Sian L Beilock.   

Abstract

We examined whether individual differences in working memory influence the facility with which individuals learn new categories. Participants learned two different types of category structures: rule-based and information-integration. Successful learning of the former category structure is thought to be based on explicit hypothesis testing that relies heavily on working memory. Successful learning of the latter category structure is believed to be driven by procedural learning processes that operate largely outside of conscious control. Consistent with a widespread literature touting the positive benefits of working memory and attentional control, the higher one's working memory, the fewer trials one took to learn rule-based categories. The opposite occurred for information-integration categories - the lower one's working memory, the fewer trials one took to learn this category structure. Thus, the positive relation commonly seen between individual differences in working memory and performance can not only be absent, but reversed. As such, a comprehensive understanding of skill learning - and category learning in particular - requires considering the demands of the tasks being performed and the cognitive abilities of the performer.

Entities:  

Mesh:

Year:  2007        PMID: 17707363     DOI: 10.1016/j.cognition.2007.07.001

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  41 in total

1.  Individual differences in simultaneous color constancy are related to working memory.

Authors:  Elizabeth C Allen; Sian L Beilock; Steven K Shevell
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2012-02-01       Impact factor: 2.129

2.  Computational Models Inform Clinical Science and Assessment: An Application to Category Learning in Striatal-Damaged Patients.

Authors:  W Todd Maddox; J Vincent Filoteo; Dagmar Zeithamova
Journal:  J Math Psychol       Date:  2010-02-01       Impact factor: 2.223

3.  The dimensionality of perceptual category learning: a state-trace analysis.

Authors:  Ben R Newell; John C Dunn; Michael Kalish
Journal:  Mem Cognit       Date:  2010-07

4.  Individual differences in learning talker categories: the role of working memory.

Authors:  Susannah V Levi
Journal:  Phonetica       Date:  2015-02-19       Impact factor: 1.759

5.  Distinguishing the contributions of implicit and explicit processes to performance of the weather prediction task.

Authors:  Amanda L Price
Journal:  Mem Cognit       Date:  2009-03

6.  Visuospatial working memory capacity predicts the organization of acquired explicit motor sequences.

Authors:  J Bo; R D Seidler
Journal:  J Neurophysiol       Date:  2009-04-08       Impact factor: 2.714

Review 7.  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

8.  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

9.  What is pressure? Evidence for social pressure as a type of regulatory focus.

Authors:  Darrell A Worthy; Arthur B Markman; W Todd Maddox
Journal:  Psychon Bull Rev       Date:  2009-04

10.  Category learning strategies in younger and older adults: Rule abstraction and memorization.

Authors:  Christopher N Wahlheim; Mark A McDaniel; Jeri L Little
Journal:  Psychol Aging       Date:  2016-03-07
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.