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Related Experiment Videos

Dissociating visuo-spatial and verbal working memory: It's all in the features.

Marie Poirier1, James M Yearsley2, Jean Saint-Aubin3

  • 1Department of Psychology, City, University of London, Northampton Square, London, EC1V 0HB, UK. m.poirier@city.ac.uk.

Memory & Cognition
|December 19, 2018
PubMed
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The feature model explains working memory performance by focusing on encoded features, not separate processing systems. This approach successfully models verbal and spatial task dissociations without modularity.

Area of Science:

  • Cognitive Psychology
  • Human Memory Research
  • Computational Neuroscience

Background:

  • The Atkinson and Shiffrin model established foundational concepts in memory research.
  • Working memory research often assumes separate systems for verbal and visuo-spatial processing.
  • The feature model offers an alternative framework for understanding memory performance.

Purpose of the Study:

  • To apply the feature model to explain performance in working memory tasks.
  • To test the feature model's ability to account for dissociations in verbal and visuo-spatial tasks.
  • To quantitatively fit the feature model to existing experimental data.

Main Methods:

  • Utilized the feature model to analyze data from Brooks' verbal and visuo-spatial matrix tasks.
Keywords:
Memory modelsShort term memoryWorking memory

Related Experiment Videos

  • Employed articulatory suppression and spatial suppression tasks to induce dissociations.
  • Applied approximate Bayesian computation to quantitatively fit the feature model to experimental data.
  • Re-analyzed data from Guérard and Tremblay (2008) involving order reconstruction tasks.

    • Main Results:

    • The feature model successfully accounted for performance dissociations in verbal and visuo-spatial working memory tasks.
    • Quantitative fitting demonstrated the model's efficacy in explaining observed data patterns.
    • The model explained a double dissociation without necessitating separate verbal and visuo-spatial processing systems.

    Conclusions:

    • A feature-based approach can account for working memory dissociations, challenging the need for modular systems.
    • The feature model provides a parsimonious and flexible explanation for various memory phenomena.
    • This study marks the first quantitative fitting of the feature model to dissociation data.