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

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A constructivist neural network model of German verb inflection in agrammatic aphasia. / Westermann, G ; Willshaw, David; Penke, M .
Ninth International Conference on Artificial Neural Networks (ICANN99). Edison: INST ELECTRICAL ENGINEERS INSPEC INC, 1999. p. 916-921.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Westermann, G, Willshaw, D & 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, 9th International Conference on Artificial Neural Networks (ICANN99), EDINBURGH, 7/09/99. https://doi.org/10.1049/cp:19991229

APA

Westermann, G., Willshaw, D., & Penke, M. (1999). A constructivist neural network model of German verb inflection in agrammatic aphasia. In Ninth International Conference on Artificial Neural Networks (ICANN99) (pp. 916-921). INST ELECTRICAL ENGINEERS INSPEC INC. https://doi.org/10.1049/cp:19991229

Vancouver

Westermann G, Willshaw D, Penke M. A constructivist neural network model of German verb inflection in agrammatic aphasia. In Ninth International Conference on Artificial Neural Networks (ICANN99). Edison: INST ELECTRICAL ENGINEERS INSPEC INC. 1999. p. 916-921 doi: 10.1049/cp:19991229

Author

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

Bibtex

@inproceedings{bafdb3a0fdcb48f8b229c0ff34e70242,
title = "A constructivist neural network model of German verb inflection in agrammatic aphasia",
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.",
author = "G Westermann and David Willshaw and M Penke",
year = "1999",
doi = "10.1049/cp:19991229",
language = "English",
isbn = "0-85296-721-7",
pages = "916--921",
booktitle = "Ninth International Conference on Artificial Neural Networks (ICANN99)",
publisher = "INST ELECTRICAL ENGINEERS INSPEC INC",
note = "9th International Conference on Artificial Neural Networks (ICANN99) ; Conference date: 07-09-1999 Through 10-09-1999",

}

RIS

TY - GEN

T1 - A constructivist neural network model of German verb inflection in agrammatic aphasia

AU - Westermann, G

AU - Willshaw, David

AU - Penke, M

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

U2 - 10.1049/cp:19991229

DO - 10.1049/cp:19991229

M3 - Conference contribution/Paper

SN - 0-85296-721-7

SP - 916

EP - 921

BT - Ninth International Conference on Artificial Neural Networks (ICANN99)

PB - INST ELECTRICAL ENGINEERS INSPEC INC

CY - Edison

T2 - 9th International Conference on Artificial Neural Networks (ICANN99)

Y2 - 7 September 1999 through 10 September 1999

ER -