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A constructivist neural network model of German verb inflection in agrammatic aphasia

Westermann, G and Willshaw, David and Penke, M (1999) A constructivist neural network model of German verb inflection in agrammatic aphasia. In: Ninth International Conference on Artificial Neural Networks (ICANN99). INST ELECTRICAL ENGINEERS INSPEC INC, Edison, pp. 916-921. ISBN 0-85296-721-7

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    Abstract

    We present a constructivist neural network that closely models the performance of agrammatic aphasics on German participle inflection. The network constructs a modular architecture leading to a double dissociation between regular and irregular verbs, and lesioning the trained network accounts for data obtained from aphasic subjects [6]. We analyze the internal structure of the network with respect to the representation of regular and irregular verbs and argue that the constructivist neural network presents a more plausible account of verb inflection than a recently proposed dual-mechanism theory.

    Item Type: Contribution in Book/Report/Proceedings
    Subjects: B Philosophy. Psychology. Religion > BF Psychology
    Departments: Faculty of Science and Technology > Psychology
    ID Code: 53369
    Deposited By: ep_importer_pure
    Deposited On: 27 Mar 2012 11:53
    Refereed?: No
    Published?: Published
    Last Modified: 10 Apr 2014 00:56
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/53369

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