The SPLIT Model of Visual Word Recognition: Complementary Connectionist and Statistical Cognitive Modelling

  • Richard Shillcock
  • Padraic Monaghan
  • T. Mark Ellison
Conference paper
Part of the Perspectives in Neural Computing book series (PERSPECT.NEURAL)


We review three problems in the connectionist modelling of visual word recognition: the restriction of models to monosyllabic words, the difficulty in assimilating fixation data from the reading of continuous text, and the abstractness of the accounts of dyslexic reading. We show how a model of visual word recognition, the SPLIT model, can be anatomically based on the precise splitting of the foveal projection about a vertical meridian. The SPLIT model has a limited instantiation as a connectionist model and a wider instantiation as a conventional statistical analysis. This combination of two modelling paradigms, both based on foveal splitting, gives the best coverage of word recognition phenomena.


Word Recognition Connectionist Modelling Visual Word Recognition Right Hemisphere Lexical Processing 
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Copyright information

© Springer-Verlag London Limited 1999

Authors and Affiliations

  • Richard Shillcock
    • 1
  • Padraic Monaghan
    • 1
  • T. Mark Ellison
    • 1
  1. 1.Centre for Cognitive ScienceUniversity of EdinburghEdinburghScotland

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