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Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
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A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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Published on: May 7, 2014

Normal aging and the dissociable prototype learning systems.

Brian D Glass1, Tanya Chotibut, Jennifer Pacheco

  • 1Department of Psychology, University of Texas at Austin, Austin, TX 78712, USA.

Psychology and Aging
|August 31, 2011
PubMed
Summary
This summary is machine-generated.

Older adults show deficits in declarative memory tasks but improved performance in perceptual learning tasks, suggesting aging impacts memory systems differently. This research explores age-related changes in prototype learning.

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Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing

Published on: January 24, 2020

Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Gerontology

Background:

  • Prototype learning involves two systems: perceptual (A/not-A) and declarative (A/B).
  • Previous research shows these systems are dissociable and affected by age and neurological conditions.

Purpose of the Study:

  • To investigate the effects of normal aging on A/not-A (AN) and A/B (AB) prototype learning.
  • To explore the relationship between cognitive functions and performance in these learning tasks in older adults.

Main Methods:

  • Participants underwent AN and AB prototype learning tasks.
  • Computational modeling was used to interpret attentional focus differences.
  • Neuropsychological tests assessed executive functioning, attentional control, nonverbal memory, and visual attention.

Main Results:

  • Older adults demonstrated an age-related deficit in AB learning (declarative) but an advantage in AN learning (perceptual).
  • Computational modeling suggested narrower attention in AB tasks and broader attention in AN tasks for older adults.
  • Executive functioning and attentional control correlated with performance in both tasks, while nonverbal memory aided AN learning and visual attention hindered AB learning.

Conclusions:

  • Aging differentially affects memory systems, leading to deficits in some tasks and enhancements in others.
  • Results support an interactive memory systems approach to understanding cognitive aging.
  • Attentional focus and executive functions play crucial roles in age-related changes in prototype learning.