Factors underlying masked priming effects in competitive network models of visual word recognition. In S Kinoshita & SJ Lupker

Research output: Chapter in Book/Report/Conference proceedingChapter in a book

Abstract

This chapter develops a precise description of the factors underlying masked priming effects in a specific competitive network model--the interactive activation (IA) model (McClelland and Rumelhart, 1981). Because the resulting expression is formulated in terms of standard psycholinguistic variables, the analysis presented here helps to bridge the divide between purely computational accounts and verbal theories of visual word recognition and priming. This approach is assisted by a framework for partitioning the set of competitors of a target stimulus, and a graphical technique for depicting the course of the competitive process in competitive network models of visual word recognition. The development of simple regression models that are able to fully capture the effects of priming within a complex (interactive, nonlinear, and dynamic) network model is a valuable outcome that has broader implications for the computational model of cognition. The analysis of priming effects in the model also leads to a number of predictions that can be tested empirically.
Translated title of the contributionFactors underlying masked priming effects in competitive network models of visual word recognition. In S Kinoshita & SJ Lupker
Original languageEnglish
Title of host publicationMasked priming
Subtitle of host publicationThe state of the art
Place of PublicationNew York, NY, US
PublisherPsychology Press Ltd
Pages121-170
Number of pages50
Publication statusPublished - 2003

Publication series

NamePsychology Press

Bibliographical note

Title of Publication Reviewed: Masked Priming: The State of the Art
Publisher: Philadelphia: Psychology Press

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