A Bayesian model for implicit effects in perceptual identification.

作者: Lael J. Schooler , Richard M. Shiffrin , Jeroen G. W. Raaijmakers

DOI: 10.1037/0033-295X.108.1.257

关键词:

摘要: Retrieving effectively from memory (REM; R. M. Shiffrin & Steyvers, 1997), an episodic model of memory, is extended to implicit phenomena, namely the perceptual identification studies reported in Ratcliff and G. McKoon (1997). In those studies, influence prior study was greatest when words were presented most briefly forced-choice targets foils similar. use these data argue against models which changes a word's representation. A representation by adding context information fit their data; at test, uses Bayesian decision process compare features associated with test flash stored traces. The effects are due matching extra larger alternatives share many features, thereby reducing noise that attenuates effects.

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