A Bayesian dynamic stopping method for evoked response brain-computer interfacing

We validate our proposed method on a publicly available dataset, comparing it with established static and dynamic stopping methods. Our results demonstrate that our approach offers a broad range of accuracy-speed trade-offs and achieves higher precision than baseline stopping methods.

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Publication Details

Journal
Frontiers in Human Neuroscience
Published
2024-12-24
DOI
https://doi.org/10.3389/fnhum.2024.1437965
Citations
4
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
1.37
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article

A Bayesian dynamic stopping method for evoked response brain-computer interfacing

Peter Desain, Jordy Thielen, Sara Ahmadi
4 citations
Frontiers in Human Neuroscience
EEG and Brain-Computer Interfaces
1.37
article

A Bayesian dynamic stopping method for evoked response brain-computer interfacing

Peter Desain, Jordy Thielen, Sara Ahmadi
article en
4 citations

Abstract

We validate our proposed method on a publicly available dataset, comparing it with established static and dynamic stopping methods. Our results demonstrate that our approach offers a broad range of accuracy-speed trade-offs and achieves higher precision than baseline stopping methods.

Frontiers in Human NeuroscienceVol. 18
Radboud University Nijmegen (NL)
Partnerships for the goals
Openalex Percentile: Top 18%
EEG and Brain-Computer Interfaces
1.37
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A Bayesian dynamic stopping method for evoked response brain-computer interfacing — Peter Desain, Jordy Thielen, et al. · Frontiers in Human Neuroscience (2024) | TGRS Research Map | TGRS