Learning of the First-Order System : A Modeling Study of Biofeedback Training

概要

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Biofeedback is a self-regulation technique characterized by (l)addition of outer informational pathway to feedback the inner physiological state to the sense, (2)mental training on the level of consciousness, and (3)eventual acquisition of ability to voluntarily control the inner state without the outer pathway. We tested the validity of a newly proposed theoretical model of the learning process in biofeedback training by applying it to the first-order control system which is the simplest control system observed in the physiological system. In our study, the learning system consisted of three artificial neurons. In the learning process, input weights to the neurons were varied so that the output of the feedback controller vanished. The learning process converged with the learning system having the inverse input/output characteristics of the first-order system. As the result, after learning, the system smoothly persuited the input waveform. This means that fad-forward system was created in the model, which suggests the validity of the model. In addition to computer simulation, the results were mathematically analyzed in terms of the control theory.
日本バイオフィードバック学会の論文