Jun 13, 2022 · We propose a dynamic ensemble Bayesian filter (DyEnsemble) to deal with the neural variability in online BMI control.
Apr 22, 2022 · DyEnsemble extends Bayesian filters with a dynamic measurement model, which adjusts its parameters in time adaptively with neural changes.
Nov 22, 2022 · Abstract—Objective: Brain-machine interfaces (BMIs) aim to provide direct brain control of devices such as pros- theses and computer cursors ...
DyEnsemble frames a novel and flexible dynamic decoding framework for robust BMIs, beneficial to various neural decoding applications and improves the ...
Method: We propose a dynamic ensemble Bayesian filter (DyEnsemble) to deal with the neural variability in online BMI control. Unlike most existing approaches ...
Apr 22, 2022 · DyEnsemble extends Bayesian filters with a dynamic measurement model, which adjusts its parameters in time adaptively with neural changes. This ...
Dynamic Ensemble Bayesian Filter for Robust Control of a Human Brain-machine Interface · no code implementations • 22 Apr 2022 • Yu Qi, Xinyun Zhu, Kedi Xu ...
Dynamic Ensemble Bayesian Filter for Robust Control of a Human Brain-machine Interface ... In this way, DyEnsemble copes with variability in signals and improves ...
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What are brain machine interfaces used for?
Dynamic Ensemble Bayesian Filter for Robust Control of a Human Brain-Machine Interface. January 01, 2022. [ MEDLINE Abstract ]. FlowRAU-Net: Accelerated 4D ...
Method: To deal with the neural variability in online BMI control, we propose a dynamic ensemble Bayesian filter (DyEnsemble). DyEnsemble extends Bayesian ...