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Feature sampling in categorization and recognition of objects

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Abstract:

This article presents an overview of some recent work on the time course of perceptual categorization and recognition memory. First, The EGCM-RT, which is a feature-sampling model of the time course of categorization, is described. It is shown that the model explains a wide range of categorization data. Second, an overview is given of a feature-sampling model of the time course of recognition that is derived from the EGCM-RT. This model explains results that have been interpreted in the past as evidence for dual-process models of recognition, and it provides a single-process alternative to dual-process accounts.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/02724980143000208

Publication date: February 1, 2002

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