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{ "pk": 50146, "title": "SIESTA: A Spectral-Temporal Unified Framework for Robust Cross-Subject EEG Analysis", "subtitle": null, "abstract": "Electroencephalography (EEG) provides critical insights into brain activity, yet its inherent variability and nonstationary nature pose significant challenges for computational analysis, particularly in cross-subject generalization tasks. We present SIESTA (Spectral Invariant EEG-based Semi-causal Transform Architecture), a novel EEG foundation model that addresses these challenges through three key innovations: (1) VQGAN-based spectral tokenization capturing wavelet representation of EEG; (2) a dual-stream Transformer architecture pre-trained using a semi-causal generative modeling approach; and (3) Contrastive Invariant Fine-Tuning (CIFT), a label-free domain adaptation strategy that aligns feature distributions across subjects by integrating spectral-temporal dynamics. Pre-trained on over 32,900 hours of diverse EEG data, SIESTA achieves state-of-the-art performance in epilepsy monitoring, improves F1-score by $12.4 \\%$ on scalp EEG and $8.7 \\%$ on intracranial EEG, respectively. Beyond epilepsy, SIESTA demonstrates strong generalizability to non-epilepsy tasks, including motor imagery and sleep stage classification. These results validate that spectrotemporal integration and domain-invariant learning are fundamental for modeling cross-subject EEG variability, establishing new benchmarks for robust brain-computing systems.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "Artificial Intelligence; Pattern recognition; Big data; Electroencephalography (EEG); Neural Networks" } ], "section": "Abstracts with Poster Presentation (accepted as Abstracts)", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/9nb9z2pw", "frozenauthors": [ { "first_name": "Ruizhe", "middle_name": "", "last_name": "Zheng", "name_suffix": "", "institution": "Fudan University", "department": "" }, { "first_name": "Yuguo", "middle_name": "", "last_name": "Yu", "name_suffix": "", "institution": "Fudan University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2025-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/50146/galley/38108/download/" } ] }