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Dyslexic and Category-Specific Impairments in a Self-Organizing Feature Map Model of the Lexicon

Miikkulainen, Risto (1997) Dyslexic and Category-Specific Impairments in a Self-Organizing Feature Map Model of the Lexicon. [Journal (Paginated)]

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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.

Item Type:Journal (Paginated)
Keywords:lexicon, dyslexia, aphasia, category-specific impairments, self-organizing maps, word associations, modularity, modality-specific impairments, Hebbian learning
Subjects:Neuroscience > Computational Neuroscience
Computer Science > Language
Computer Science > Neural Nets
ID Code:523
Deposited By:Miikkulainen, Risto
Deposited On:03 Jan 1999
Last Modified:11 Mar 2011 08:54

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