Treffer: General recognition theory of categorization : A MATLAB toolbox

Title:
General recognition theory of categorization : A MATLAB toolbox
Source:
Behavior research methods. 38(4):579-583
Publisher Information:
Austin, TX: Psychonomic Society, 2006.
Publication Year:
2006
Physical Description:
print, 1/4 p
Original Material:
INIST-CNRS
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
San Diego State University, San Diego, California, United States
ISSN:
1554-351X
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Psychology. Ethology

FRANCIS
Accession Number:
edscal.18574138
Database:
PASCAL Archive

Weitere Informationen

General recognition theory (GRT) is both a theory of categorization and a framework for studying human categorization behavior. The GRT toolbox is a set of MATLAB scripts and subroutines that can help an experimenter design categorization experiments, generate stimuli for these experiments, simulate a participant's responses, analyze categorization data, and graph results. The typical user designs experiments for two-category tasks in which the categories are specified by multivariate normal distributions. The toolbox also provides tools for fitting the general linear classifier and the general quadratic classifier to a data set.