An Attractor Model of Lexical Conceptual Processing: Simulating Semantic Priming
نویسندگان
چکیده
منابع مشابه
An attractor model of lexical conceptual processing: simulating semantic priming
An attractor network was trained to compute from word form to semantic representations that were based on subject-generated features. The model was driven largely by higher-order semantic structure. The network simulated two recent experiments that employed items included in its training set (McRae and Boisvert, 1998). In Simulation 1, short stimulus onset asynchrony priming was demonstrated fo...
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Semantic priming involves a combination of automatic processes like spreading activation (SA) and controlled processes like expectancy and semantic matching. An alternative account for automatic priming has been suggested using attractor neural networks. Such networks offer a more biologically plausible model of real neuronal dynamics but fall short in explaining several important effects such ...
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Lexical-semantic processing in the semantic priming paradigm in aphasic patients.
There is evidence that the explicit lexical-semantic processing deficits which characterize aphasia may be observed in the absence of implicit semantic impairment. The aim of this article was to critically review the international literature on lexical-semantic processing in aphasia, as tested through the semantic priming paradigm. Specifically, this review focused on aphasia and lexical-semant...
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When and how do infants develop a semantic system of words that are related to each other? We investigated word-word associations in early lexical development using an adaptation of the inter-modal preferential looking task where word pairs (as opposed to single target words) were used to direct infants' attention towards a target picture. Two words (prime and target) were presented in quick su...
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ژورنال
عنوان ژورنال: Cognitive Science
سال: 1999
ISSN: 0364-0213
DOI: 10.1207/s15516709cog2303_4