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Polarity-considered EEG microstates improve classification accuracy of oddball stimulus

Brain–computer interfaces (BCIs) require efficient feature extraction and dimensionality reduction from high-dimensional neural signals. Electroencephalogram (EEG) microstate analysis is a rapid and noise-resistant approach that classifies instantaneous EEG states into several spatial distribution p...

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Principais autores: Tatsumi Tsubaki, Shiho Kashihara, Tomohisa Asai, Hiroshi Imamizu, Isao Nambu
פורמט: Artigo
שפה:Inglês
יצא לאור: Frontiers Media S.A. 2026-03-01
סדרה:Frontiers in Human Neuroscience
נושאים:
BCI
classification
EEG microstates
labeling
oddball task
גישה מקוונת:https://www.frontiersin.org/articles/10.3389/fnhum.2026.1712380/full
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