A SYSTEMIC MODEL OF BIOFEEDBACK LEARNING

Abstract

Mathematical models of biofeedback learning provide empirical laws of these processes and could be used in order to improve experiments. The systemic approach provides a well‐adapted framework, in which learning is studied as a control problem. The model proposed here is a system of recurrence equations involving the successive measurements of the subject's physiological activity collected by the biofeedback device, and also the performance index presented to the subject. A parameter identification method is described and tested on a computer simulated process.

Citation

GALLEGO, J. and LAURENTI‐LIONS, L. (1983), "A SYSTEMIC MODEL OF BIOFEEDBACK LEARNING", Kybernetes, Vol. 12 No. 4, pp. 263-266. https://doi.org/10.1108/eb005664