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Event-Related Potential Extraction Workflow Based on Kernel Density Estimation
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DOI：10.1016/j.neucom.2025.131425.png)
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Abstract
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• Proposed a new ERP extraction workflow based kernel density estimation. • Replaced trial-level averaging with fine-grained probability modeling. • Used inherent time dependence of EEG to actively reconstruct ERP waveforms. • Introduced an adaptive steering kernel to handle multi-channel noise structures.