A Source Activation Account of Individual Differences in Working Memory Performance

Abstract

Working memory resources are needed for processing and maintenance of information during cognitive tasks. Many models have been developed to capture the effects of limited working memory resources on performance. However, most of these models do not account for the finding that different individuals show different sensitivities to working memory demands, and none of the models predicts individual subjects' patterns of performance. We propose a computational model that accounts for differences in working memory capacity in terms of a quantity called source activation, which is used to maintain goal relevant information in an available state. We apply this model to capture the working memory effects of individual subjects at a fine level of detail in three experiments. In Experiment's 1 and 2 we demonstrate that our model can predict the performance of individual subjects in two variations of a modified digit span (MODS) task. In Experiment 3 we show that an individual's source activation, as estimated from performance of the MODS task, can be used to predict performance of a second working memory task. This, we argue, strengthens the interpretation of source activation as working memory capacity.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1999
Accession Number
ADA371187

Entities

People

  • Larry Z. Daily
  • Lynne M. Reder
  • Marsha C. Lovett

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Classification
  • Coding
  • Cognition
  • Cognitive Science
  • Computational Modeling
  • Computing System Architectures
  • Information Processing
  • Language
  • New York
  • Probability
  • Psychology
  • Reasoning
  • Sensitivity
  • Simulations
  • Task Performance And Analysis
  • Thinking

Fields of Study

  • Biology

Readers

  • Computational Modeling and Simulation
  • Instructional Design and Training Evaluation.
  • Neuroscience