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UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title Dissociations Between Regularities and Irregularities in Language Processing: Computational Demonstrations Without Separable Processing Components Publication Date Dissociations Between Regularities and Irregularities in Language Processing: Computational Demonstrations Without Separable Processing Components
2004
Proceedings of the Annual Meeting of the Cognitive Science Society
unpublished
Two models are presented that compute a quasi-regular mapping. One was based on localist representations of items in the quasi-regular domain, the other was based on distributed representations. In each model, a control parameter termed input gain was modulated over the one and only level of representation that mapped inputs to outputs. Input gain caused both models to shift between regularity-based and item-based modes of processing. Performance on irregular items was selectively impaired in
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