BCI-sift provides an open-source, scikit-learn-compatible toolbox for applying optimization-based feature selection to BCI datasets, validated on HD ECoG speech data from eight participants where it improved accuracy and yielded anatomically consistent selections.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.NC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
BCI-sift: An automated feature selection toolbox for Brain Computer Interface applications
BCI-sift provides an open-source, scikit-learn-compatible toolbox for applying optimization-based feature selection to BCI datasets, validated on HD ECoG speech data from eight participants where it improved accuracy and yielded anatomically consistent selections.