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Related Experiment Videos

Aphasic sentence comprehension as a resource deficit: a computational approach

H J Haarmann1, M A Just, P A Carpenter

  • 1Carnegie Mellon University, Pittsburgh, PA 15213-3890.

Brain and Language
|August 1, 1997
PubMed
Summary

This study introduces a computational model for aphasic sentence comprehension, proposing a common working memory deficit underlies comprehension variations in aphasia. The model simulates how reduced activation resources impact sentence processing.

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Area of Science:

  • Computational Neuroscience
  • Psycholinguistics
  • Neurolinguistics

Background:

  • Aphasia presents diverse sentence comprehension deficits.
  • Individual variations in aphasia performance suggest an underlying common cause.
  • Working memory plays a crucial role in sentence comprehension.

Purpose of the Study:

  • To propose and test a computational model of aphasic sentence comprehension.
  • To investigate the 'resource reduction hypothesis' of working memory deficits in aphasia.
  • To account for sentence complexity and severity effects in aphasia.

Main Methods:

  • Development of a novel computational model simulating aphasic sentence comprehension.
  • Modeling based on the premise of a common deficit in working memory activation resources.

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  • Testing the model's ability to replicate known effects in aphasia literature.

    • Main Results:

    • The model successfully simulates aspects of aphasic sentence comprehension.
    • Simulation results align with reported sentence complexity effects.
    • The model accounts for variations in comprehension severity observed in aphasia.

    Conclusions:

    • A pathological reduction in working memory activation resources is a plausible explanation for aphasic comprehension deficits.
    • The developed computational model provides a feasible framework for understanding aphasia.
    • This approach can help explain individual differences in sentence comprehension performance among aphasic individuals.