Real-time Bayesian Control of Reactive Brain Computer Interfaces

Pex Tufvesson,Martin Gemborn Nilsson,Kristian Soltesz,Bo Bernhardsson

IFAC-PapersOnLine（2023）

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摘要

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.

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关键词

Control in neuroscience,Biomedical system modeling,simulation and visualization,Bayesian methods,Parameter and state estimation,Input and excitation design

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