Research article summary (published 30 May 2002):

Computational explorations of the influence of structured knowledge on age-related cognitive decline.

Full Abstract

Experience in a domain can sometimes offset cognitive declines that occur with aging. Using a series of neural network simulations of learning chess opening positions, the authors investigated how structured knowledge in a distributed representation may influence age-related declines. Aging manipulations implemented as modulations of neural noise showed increased knowledge as being protective of performance on a chess memory span task, whereas changes in neural plasticity and neural loss lead to main effects without interactions and steeper declines for the initially more able. The models could also simulate the increase in variability in older groups.

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Author information

Author/s: Mireles, David E (DE); Charness, Neil (N);

Affiliation: Department of Psychology, Florida State University, Tallahassee 32306-1270, USA. mireles(-atsign-)mitre.org

Grants: 5R01 AG13969 (Agency:NIA NIH HHS)

Journal and publication information

Publication Type: Journal Article; Research Support, U.S. Gov't, P.H.S.

Journal: Psychology and aging (Psychol Aging), published in United States. (Language: eng)

Reference: 2002-Jun; vol 17 (issue 2) : pp 245-59

Dates: Created 2002/06/13; Completed 2002/11/25; Revised 2007/11/14;

PMID: 12061410, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Aged Aging - psychology Cognition Disorders - psychology Humans Intelligence Knowledge

Knowledge Memory Mental Processes Middle Aged Models, Theoretical Neural Networks (Computer)

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