{"ID":2841228,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.12073","arxiv_id":"2511.12073","title":"Informed Bootstrap Augmentation Improves EEG Decoding","abstract":"Electroencephalography (EEG) offers detailed access to neural dynamics but remains constrained by noise and trial-by-trial variability, limiting decoding performance in data-restricted or complex paradigms. Data augmentation is often employed to enhance feature representations, yet conventional uniform averaging overlooks differences in trial informativeness and can degrade representational quality. We introduce a weighted bootstrapping approach that prioritizes more reliable trials to generate higher-quality augmented samples. In a Sentence Evaluation paradigm, weights were computed from relative ERP differences and applied during probabilistic sampling and averaging. Across conditions, weighted bootstrapping improved decoding accuracy relative to unweighted (from 68.35% to 71.25% at best), demonstrating that emphasizing reliable trials strengthens representational quality. The results demonstrate that reliability-based augmentation yields more robust and discriminative EEG representations. The code is publicly available at https://github.com/lyricists/NeuroBootstrap.","short_abstract":"Electroencephalography (EEG) offers detailed access to neural dynamics but remains constrained by noise and trial-by-trial variability, limiting decoding performance in data-restricted or complex paradigms. Data augmentation is often employed to enhance feature representations, yet conventional uniform averaging overlo...","url_abs":"https://arxiv.org/abs/2511.12073","url_pdf":"https://arxiv.org/pdf/2511.12073v1","authors":"[\"Woojae Jeong\",\"Wenhui Cui\",\"Kleanthis Avramidis\",\"Takfarinas Medani\",\"Shrikanth Narayanan\",\"Richard Leahy\"]","published":"2025-11-15T07:26:03Z","proceeding":"eess.SP","tasks":"[\"eess.SP\",\"cs.LG\"]","methods":"[]","has_code":false,"code_links":[{"ID":607040,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2841228,"paper_url":"https://arxiv.org/abs/2511.12073","paper_title":"Informed Bootstrap Augmentation Improves EEG Decoding","repo_url":"https://github.com/lyricists/NeuroBootstrap","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}