A Java simulator of Rescorla and Wagner's prediction error model and configural cue extensions

Alonso, E., Mondragon, E. & Fernandez, A. (2012). A Java simulator of Rescorla and Wagner's prediction error model and configural cue extensions. Computer Methods and Programs in Biomedicine, 108(1), pp. 346-355. doi: 10.1016/j.cmpb.2012.02.004

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Abstract

In this paper we present the “R&W Simulator” (version 3.0), a Java simulator of Rescorla and Wagner's prediction error model of learning. It is able to run whole experimental designs, and compute and display the associative values of elemental and compound stimuli simultaneously, as well as use extra configural cues in generating compound values; it also permits change of the US parameters across phases. The simulator produces both numerical and graphical outputs, and includes a functionality to export the results to a data processor spreadsheet. It is user-friendly, and built with a graphical interface designed to allow neuroscience researchers to input the data in their own “language”. It is a cross-platform simulator, so it does not require any special equipment, operative system or support program, and does not need installation. The “R&W Simulator” (version 3.0) is available free.

Item Type: Article
Additional Information: NOTICE: this is the author’s version of a work that was accepted for publication in Computer Methods and Programs in Biomedicine. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computer Methods and Programs in Biomedicine, Volume 108, Issue 1, October 2012, Pages 346–355, http://dx.doi.org/10.1016/j.cmpb.2012.02.004.
Uncontrolled Keywords: Java simulator; Open-source; Platform independent; Prediction error learning; Classical conditioning; Compound stimuli; Configural cue
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Informatics > Department of Computing
Related URLs:
URI: http://openaccess.city.ac.uk/id/eprint/5189

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