Abstract

DISLEX is an artificial neural network model of the mental lexicon. It was built to test computationally whether the lexicon could consist of separate feature maps for the different lexical modalities and the lexical semantics, connected with ordered pathways. In the model, the orthographic, phonological, and semantic feature maps and the associations between them are formed in an unsupervised process, based on cooccurrence of the lexical symbol and its meaning. After the model is organized, various damage to the lexical system can be simulated, resulting in dyslexic and category-specific aphasic impairments similar to those observed in human patients. 1 Introduction The human lexical system is believed to be highly modular, consisting of a central semantic component and separate symbol memories for the different input and output modalities (Caramazza 1988; McCarthy and Warrington 1990). Such an architecture is intuitively compelling since the modalities give rise to different repres...

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