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Related Experiment Video

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A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions
10:38

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

Published on: July 16, 2015

Modeling working memory: an interference model of complex span.

Klaus Oberauer1, Stephan Lewandowsky, Simon Farrell

  • 1Department of Psychology-Cognitive Psychology, University of Zurich, Binzmühlestrasse 14/22, 8050 Zürich, Switzerland. k.oberauer@psychologie.uzh.ch

Psychonomic Bulletin & Review
|June 21, 2012
PubMed
Summary
This summary is machine-generated.

This study presents SOB-CS, a neural network model for working memory's complex-span task. It explains memory limits via interference and predicts/confirms experimental findings.

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Area of Science:

  • Cognitive Science
  • Computational Neuroscience
  • Psychology

Background:

  • Working memory is crucial for cognitive tasks.
  • The complex-span task is a primary method for studying working memory capacity.
  • Existing models face challenges in explaining various empirical findings.

Purpose of the Study:

  • Introduce a novel computational model, SOB-CS, for the complex-span task.
  • Explain memory capacity limitations through neural network dynamics.
  • Account for and predict empirical results in working memory research.

Main Methods:

  • Developed SOB-CS, a two-layer neural network.
  • Modeled associations between item representations and positional markers.
  • Simulated interference from overlapping associations and distractor processing.

Main Results:

  • SOB-CS explains memory limits by interference from superimposed associations.
  • The model accounts for effects of processing pace, difficulty, and steps.
  • It accurately predicts serial position effects, error patterns, and item-distractor similarity impacts.
  • Correlations between different span tasks are also explained.

Conclusions:

  • SOB-CS provides a unified computational framework for working memory.
  • The model elucidates mechanisms of interference and capacity limits.
  • Experimental validation confirms the model's predictive power and explanatory scope.