Real-time Bayesian Control of Reactive Brain Computer Interfaces

This paper introduces an improved method for real-time brain computer interface control. We demonstrate how Bayesian optimization and feedback can be used to achieve faster statistical convergence by controlling the sequence of stimuli shown in a brain computer interface based on a visual oddball pa...

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Bibliographic Details
Main Authors: Tufvesson, Pex, Nilsson, Martin Gemborn, Soltesz, Kristian, Bernhardsson, Bo
Format: Conference Proceeding
Language:English
Subjects:
Bayesian methods
Biomedical system modeling
Control in neuroscience
Input and excitation design
Parameter and state estimation
simulation and visualization
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Summary:This paper introduces an improved method for real-time brain computer interface control. We demonstrate how Bayesian optimization and feedback can be used to achieve faster statistical convergence by controlling the sequence of stimuli shown in a brain computer interface based on a visual oddball paradigm.
ISSN:2405-8963
2405-8963
DOI:10.1016/j.ifacol.2023.10.1612