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{ "pk": 49612, "title": "MSCNN-ADDA: A Cross-Subject P300 EEG Decoding Algorithm Based on a Multi-Scale Convolutional Neural Network and Adversarial Discriminative Domain Adaptation", "subtitle": null, "abstract": "A brain-computer interface (BCI) enables direct communication between the brain and external devices. Despite progress, EEG decoding still faces challenges: 1) how to shorten or eliminate the calibration process in cross-subject BCI scenarios; 2) how to capture more characteristic features from different scales in EEG data; and 3) how to extract subject-independent EEG features more effectively. To address these, we propose a cross-subject EEG decoding algorithm based on a multiscale convolutional neural network (MSCNN) and domain adaptation for P300-based BCIs. The MSCNN was trained on a large-scale EEG dataset to extract subject-independent features, then fine-tuned via ADDA to align cross-subject data. In offline analysis, we achieved a cross-subject average accuracy exceeding 83%, indicating that we successfully established a domain adaptation-based cross-subject EEG decoding algorithm, which can eliminate the subject-specific calibration process for new subjects.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "Artificial Intelligence; Human-computer interaction; Machine learning; Electroencephalography (EEG); Neural Networks" } ], "section": "Papers with Poster Presentation", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/20q9m859", "frozenauthors": [ { "first_name": "Wanying", "middle_name": "", "last_name": "He", "name_suffix": "", "institution": "South China Normal University", "department": "" }, { "first_name": "Yongxi", "middle_name": "", "last_name": "Zhao", "name_suffix": "", "institution": "South China Normal University", "department": "" }, { "first_name": "Jiahui", "middle_name": "", "last_name": "Pan", "name_suffix": "", "institution": "South China Normal 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/49612/galley/37574/download/" } ] }