title: Analytical Expressions for the REM Model of Recognition Memory.
abstract: An inordinate amount of computation is required to evaluate predictions of simulation-based models. Following Myung et al (2007), we derived an analytic form expression of the REM model of recognition memory using a Fourier transform technique, which greatly reduces the time required to perform model simulations. The accuracy of the derivation is verified by showing a close correspondence between its predictions and those reported in Shiffrin and Steyvers (1997). The derivation also shows that REM's predictions depend upon the vector length parameter, and that model parameters are not identifiable unless one of the parameters is fixed.
authors.affiliation: Facultad de Educación, Pontificia Universidad Católica de Chile, CHILE.
authors.forename: Maximiliano
authors.initials: M
authors.lastname: Montenegro
authors.affiliation: Department of Psychology, Ohio State University, Columbus, OH.
authors.forename: Jay I
authors.initials: JI
authors.lastname: Myung
authors.affiliation: Department of Psychology, Ohio State University, Columbus, OH.
authors.forename: Mark A
authors.initials: MA
authors.lastname: Pitt
references.citation: Psychol Rev. 2001 Apr;108(2):452-78
references.pmid: 11381837
references.citation: Genetics. 2002 Dec;162(4):2025-35
references.pmid: 12524368
references.citation: J Exp Psychol Learn Mem Cogn. 1990 Mar;16(2):179-95
references.pmid: 2137860
references.citation: Psychon Bull Rev. 1997 Jun;4(2):145-66
references.pmid: 21331823
references.citation: Psychol Rev. 1998 Oct;105(4):724-60
references.pmid: 9830377
references.citation: Proc Natl Acad Sci U S A. 2007 Feb 6;104(6):1760-5
references.pmid: 17264216
references.citation: J Math Psychol. 2007 Jun;51(3):198-204
references.pmid: 18516213