KEYWORDS: Modulation, Fuzzy logic, Brain, Hemodynamics, Control systems, Visualization, Systems modeling, Sensors, Real-time computing, Process control
Neurofeedback addresses a control problem where the controller cannot directly manipulate nor observe the dynamic process to be controlled. This work proposes a new multiple-input single output fuzzy controller to induce designed sensorimotor modulation. A multivariate error function guides: the plant response (behavioral output) and the plant structure (brain organizations), targeting a functional reorganization strategy encoded as a graph. The model was tested on a synthetic human agent (plant) observed with fNIRS, considering the common physiological noise models and a force transducer (behavioral). The proposed fuzzy controller modulates brain connectivity to the targeted with repercussions for neurorehabilitation and neurofeedback applications.
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