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A connectionist multiple-trace memory model for polysyllabic word reading

B Ans1, S Carbonnel, S Valdois

  • 1Laboratoire de Psychologie Expérimentale, Université Pierre Mendès France, Grenoble, France. Bernard.Ans@upmf-grenoble.fr

Psychological Review
|November 27, 1998
PubMed
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This study presents a connectionist model for reading that explains irregular word and pseudoword processing without rules. It simulates skilled reading and dyslexia by using global and analytic word processing procedures.

Area of Science:

  • Computational neuroscience
  • Cognitive psychology
  • Linguistics

Background:

  • Skilled reading involves complex processes for both regular and irregular words.
  • Existing models often rely on explicit or implicit conversion rules.
  • Understanding the neural basis of reading and dyslexia is crucial.

Purpose of the Study:

  • To describe a connectionist feedforward network for orthography-to-phonology mapping.
  • To model reading without explicit conversion rules, accounting for irregular words and pseudowords.
  • To explain key phenomena in skilled reading and patterns of acquired dyslexia.

Main Methods:

  • Development of a connectionist feedforward network.
  • Implementation of successive global (whole-word) and analytic (syllabic segments) processing procedures.

Related Experiment Videos

  • Simulation of network performance during training and after lesioning.

    • Main Results:

    • The model accounts for frequency by consistency interactions and position-of-irregularity effects.
    • Early network performance mimics less skilled readers.
    • Lesioned versions of the network exhibit patterns similar to phonological and surface dyslexia.

    Conclusions:

    • Connectionist models can explain reading processes without explicit rules.
    • The proposed dual-procedure model (global and analytic) offers a unified account of reading phenomena.
    • This framework provides insights into the mechanisms underlying normal and disordered reading.