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By TIMOTHY P. McNAMARA

I used to be trying to find a publication reviewing the literature on semantic priming and was once super inspired with this publication. it really is concise and densely filled with details. whilst, McNamara writes tremendous truly.

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Additional info for Semantic Priming: Perspectives from Memory and Word Recognition

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The model therefore predicts both response times and error rates. , Farah & McClelland, 1991; Hinton & Shallice, 1991; Plaut, McClelland, Seidenberg, & Patterson, 1996), and semantic priming. , Besner, Twilley, McCann, & Seergobin, 1990; Fodor & Pylyshyn, 1988), their influence on the science of memory and word recognition has been, and promises to remain, enormous. , McClelland & Rumelhart, 1981; Rumelhart & McClelland, 1982). Although multistage activation models differ in many important ways, they share three characteristics: (a) the models posit the existence of multiple levels of lexical-semantic representation, such as visual features, letters, words, and semantic representations; (b) the models employ excitatory feedforward and feedback connections between successive levels; and (c) each level of representation corresponds to a stage of processing.

For the purposes of modeling word recognition, the units can be grouped into modules corresponding to orthographic, phonological, and semantic features of words (Masson, 1995). Word recognition is simulated by assigning appropriate values to the orthographic units and then updating phonological and semantic units until they reach stable states. fm Page 32 Monday, June 20, 2005 11:33 AM 32 Semantic Priming The meaning of a word is considered to be accessed when the semantic units settle on their appropriate values.

To provide background for the discussion of distributed network models of semantic priming, I begin this chapter with a brief overview of distributed network models of knowledge representation. The development and investigation of distributed network models have become a gigantic enterprise. My modest goal is to summarize a few of the most important characteristics of these models, especially as they may help the reader to understand the models of priming. According to distributed network models, concepts are represented as patterns of activation across a network of densely interconnected units.

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