Literature DB >> 27899724

Working Memory Capacity and Fluid Intelligence: Maintenance and Disengagement.

Zach Shipstead1, Tyler L Harrison2, Randall W Engle2.   

Abstract

Working memory capacity and fluid intelligence have been demonstrated to be strongly correlated traits. Typically, high working memory capacity is believed to facilitate reasoning through accurate maintenance of relevant information. In this article, we present a proposal reframing this issue, such that tests of working memory capacity and fluid intelligence are seen as measuring complementary processes that facilitate complex cognition. Respectively, these are the ability to maintain access to critical information and the ability to disengage from or block outdated information. In the realm of problem solving, high working memory capacity allows a person to represent and maintain a problem accurately and stably, so that hypothesis testing can be conducted. However, as hypotheses are disproven or become untenable, disengaging from outdated problem solving attempts becomes important so that new hypotheses can be generated and tested. From this perspective, the strong correlation between working memory capacity and fluid intelligence is due not to one ability having a causal influence on the other but to separate attention-demanding mental functions that can be contrary to one another but are organized around top-down processing goals.
© The Author(s) 2016.

Entities:  

Keywords:  attention control; fluid intelligence; inhibition; maintenance; working memory capacity

Mesh:

Year:  2016        PMID: 27899724     DOI: 10.1177/1745691616650647

Source DB:  PubMed          Journal:  Perspect Psychol Sci        ISSN: 1745-6916


  31 in total

1.  Structural Relationship Between Cognitive Processing and Syntactic Sentence Comprehension in Children With and Without Developmental Language Disorder.

Authors:  James W Montgomery; Julia L Evans; Jamison D Fargo; Sarah Schwartz; Ronald B Gillam
Journal:  J Speech Lang Hear Res       Date:  2018-12-10       Impact factor: 2.297

2.  Fluid intelligence and working memory support dissociable aspects of learning by physical but not observational practice.

Authors:  Dace Apšvalka; Emily S Cross; Richard Ramsey
Journal:  Cognition       Date:  2019-05-14

3.  Why is working memory capacity related to matrix reasoning tasks?

Authors:  Tyler L Harrison; Zach Shipstead; Randall W Engle
Journal:  Mem Cognit       Date:  2015-04

4.  Validating the relation-monitoring task as a measure of relational integration and predictor of fluid intelligence.

Authors:  Joel E Bateman; Kate A Thompson; Damian P Birney
Journal:  Mem Cognit       Date:  2019-11

5.  Cognitive predictors of sentence comprehension in children with and without developmental language disorder: Implications for assessment and treatment.

Authors:  Ronald B Gillam; James W Montgomery; Julia L Evans; Sandra L Gillam
Journal:  Int J Speech Lang Pathol       Date:  2019-02-03       Impact factor: 2.484

Review 6.  The Potential of a Relational Training Intervention to Improve Older Adults' Cognition.

Authors:  Michelle E Kelly
Journal:  Behav Anal Pract       Date:  2020-07-01

Review 7.  Meta-Analysis of the Effects of Computerized Cognitive Training on Executive Functions: a Cross-Disciplinary Taxonomy for Classifying Outcome Cognitive Factors.

Authors:  Shannon L Webb; Vanessa Loh; Amit Lampit; Joel E Bateman; Damian P Birney
Journal:  Neuropsychol Rev       Date:  2018-05-03       Impact factor: 7.444

8.  Attention control: The missing link between sensory discrimination and intelligence.

Authors:  Jason S Tsukahara; Tyler L Harrison; Christopher Draheim; Jessie D Martin; Randall W Engle
Journal:  Atten Percept Psychophys       Date:  2020-10       Impact factor: 2.199

9.  Working Memory Load-related Theta Power Decreases in Dorsolateral Prefrontal Cortex Predict Individual Differences in Performance.

Authors:  Aneta Brzezicka; Jan Kamiński; Chrystal M Reed; Jeffrey M Chung; Adam N Mamelak; Ueli Rutishauser
Journal:  J Cogn Neurosci       Date:  2019-04-30       Impact factor: 3.225

10.  The Neuroscience of Goals and Behavior Change.

Authors:  Elliot T Berkman
Journal:  Consult Psychol J       Date:  2018-03
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