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.

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