ASSESSMENT OF THE RESCORLA-WAGNER MODEL WITH EXPERIMENTAL DATA

Authors

  • Roman Golubovski Ss. Cyril and Methodius University in Skopje image/svg+xml Author
  • Gjorgji Markoski Ss. Cyril and Methodius University in Skopje image/svg+xml Author
  • Gordana Kiteva-Trencevska Ss. Cyril and Methodius University in Skopje image/svg+xml Author
  • Natalija Dolnenec-Baneva Ss. Cyril and Methodius University in Skopje image/svg+xml Author

DOI:

https://doi.org/10.37560/matbil18100046g

Keywords:

Rescorla-Wagner model, EEG processing, electroexpectogram (EXG), contingent negative variation (CNV)

Abstract

Mathematical modeling is fundamental to the modern trends in the technological development, one of which is the Biomedical Engineering. This paper depicts an application in the field of EEG processing and analysis. Specifically, extraction (filtering) of event-related wave from within the overwhelming EEG potentials, and evaluation of a mathematical model of the cognitive process in humans supported by experimentally obtained data. CNV morphology is acquired through an experimental setup and subject’s electroexpectogram (EXG) is derived. A suitable form of the Rescorla-Wagner model (basic for the classical conditioning theory) is solved as a system of differential equations, and one of the solutions is recognized to consistently match the EXG curve. At last, physiological explanation is given followed by a conclusion related to the experimentally supported mathematical model.

Downloads

Published

2018-01-01

Issue

Vol. 42 No. 1 (2018): 42 (LXVIII) 1 (2018)

Section

Articles

License

Copyright (c) 2018 Matematichki Bilten

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
R. Golubovski, G. Markoski, G. Kiteva-Trencevska, and N. Dolnenec-Baneva, “ASSESSMENT OF THE RESCORLA-WAGNER MODEL WITH EXPERIMENTAL DATA”, Mat. Bilt., vol. 42, no. 1, pp. 45–56, Jan. 2018, doi: 10.37560/matbil18100046g.