EEG Foundation Models

EEG: Electroencephalography

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15 papers in the last four weeks, up 275% on the four weeks before. 0.1% of all new papers.

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  1. SpecBraM: What Should an EEG Foundation Model Predict? Masked Band-Power Prediction versus Waveform Reconstruction

    Oct 5, 2026Peng Xie, Yequan Bie, Jianda Mao +1ElectroencephalographySleep Stage Classification

    The Hong Kong University of Science and Technology

  2. Lightweight Semantic EEG Foundation Model for Frozen Cross-Disorder Transfer

    Oct 4, 2026Rita Huan-Ting Peng, Nhat BuiEEG Seizure DetectionSelf-Supervised Pre-Training

    University of Illinois Urbana–Champaign, Urbana, IL, USA · Carle Foundation Hospital, Urbana, IL, USA

  3. CortexBridge: Cortical Alignment of EEG Montages for Foundation Models

    Oct 1, 2026Jiazhen Hong, Xiaotian Zhou, Zihao Ding +2ElectroencephalographyBrain-Computer Interfaces

    Department of Electrical and Computer Engineering, Rutgers University Piscataway, NJ 08854, USA

  4. NeurDuo-EEG: A Long-Sequence EEG Foundation Model with Persistent State and Explicit Memory

    Sep 29, 2026Yifan Wang, Haiping Liu, Yang Cui +13Memory-Augmented Neural NetworksElectroencephalography

    University of Manchester · ETH Zürich · Shanghai Jiao Tong University +5

  5. PHASE: A Physiology-Guided Hierarchical Foundation Model for Intracranial EEG

    Sep 28, 2026Yipeng Zhang, Chenda Duan, Yuanyi Ding +10EEG Seizure DetectionRepresentation Learning

    UCLA Samueli School of Engineering · UCLA Mattel Children’s Hospital, David Geffen School of Medicine · Children’s Hospital of Michigan, Wayne State University School of Medicine +1

  6. Separating personal from population gains when calibrating EEG foundation models for new users

    Sep 28, 2026Xilin Tao, Kani ChenCross-Subject EEG DecodingMI Classification

    Department of Mathematics, The Hong Kong University of Science and Technology, Hong Kong SAR, China · Department of Industrial Engineering and Decision Analytics, The Hong Kong University of Science and Technology, Hong Kong SAR, China

  7. PhysioTRACE: Provenance-Aware Stress Tests for Physiological Foundation Models

    Sep 28, 2026Ayana Mussabayeva, Anuar Aimoldin, Olivier Oullier +2Data ProvenanceElectrocardiogram Foundation Models

    Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE · McGill University, Montreal, Canada · Carnegie Mellon University, Pittsburgh, USA

  8. When Is an SAE Feature Interpretable? A Validation Ladder for EEG Foundation Models

    Sep 28, 2026Yucong Cao, Chenqi Li, Tingting ZhuPerturbation-Based Feature AttributionSparse Autoencoders

    Department of Engineering Science University of Oxford

  9. What masking geometry works best for EEG foundation models?

    Sep 27, 2026Pierre Guetschel, Bruno Aristimunha, Yassine El Ouahidi +3Masked AutoencodersEEG Decoding

    Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen, The Netherlands · Yneuro, University of California San Diego, Paris, France · Lab-STICC, IMT Atlantique Brest, France +2

  10. Matched-Input Estimates Differ in Sign Across Architectures: Auditing EEG Foundation Models on Motor Imagery

    Sep 20, 2026Kevin Zhou, Sparsh RoyMI ClassificationEEG Decoding

    Hopewell Valley Central High School

  11. Beyond Flattened Tokens: Structure-Preserving EEG Decoding with Reusable TriDim Blocks

    Sep 17, 2026Shiyue Su, Song Wang, Zekai Zhan +7Cross-Subject EEG DecodingEEG Decoding

    Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China. · Omni-Intelligence, Shenzhen, China. · Department of Computer Science, The Chinese University of Hong Kong, Shenzhen, 518172, China. +2

  12. iMINDBench: iEEG Multi-Institution Neural Decoding Benchmark

    Sep 16, 2026Geeling Chau, Saba Hashemi, Yonghyeon Gwon +9Cross-Subject EEG DecodingElectroencephalography

    Caltech · USC · Seoul National University +2

  13. Dataset-Dependent Effects of Cross-Depth Aggregation and Soft-Routed Experts in EEG Foundation Model Fine-Tuning

    Sep 15, 2026Mingyang Jiang, Yamin Li, Daniel Moyer +3Attention Residual ConnectionsEEG Decoding

    Department of Computer Science, Vanderbilt University · Department of Biomedical Informatics and Data Science, Yale University

  14. A Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal Analysis

    Sep 14, 2026Mingzhi Chen, Yiyu Gui, Guibo Luo +1Cross-Modal AlignmentMultimodal Foundation Models

    New Cornerstone Science Laboratory, Guangdong Provincial Key Laboratory of In-Memory Computing Chips, School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China · Center for Brain Inspired Intelligence, Chinese Institute for Brain Research (CIBR), Beijing, China · New Cornerstone Science Laboratory, Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing, China

  15. EEG-Xplain: Decoding Neural Black-Boxes of EEG Foundation Models

    Sep 14, 2026Hansong Ma, Junxiao WangGradient-Based AttributionPerturbation-Based Feature Attribution

    Guangzhou University, China

  16. MANAS-2: Constrained Reconstruction for EEG Foundation Models

    Sep 12, 2026Arvasu Kulkarni, Aditya Ray Mishra, Jeet Bandhu Lahiri +5ElectroencephalographyMasked Autoencoders

    Mannas AI · Indian Institute of Technology, Mandi

  17. EEG-AS: Instance-Level Foundation Model Selection for EEG Foundation Models via Behavior Reconstruction

    Sep 1, 2026Yunzhen Zhang, Ruoxi Piao, Hasan Onur Keles +1Algorithm SelectionEEG Decoding

    Duke Kunshan University · Ankara University

  18. Lightweight Adaptation of EEG Foundation Models for Stroke Motor Imagery Decoding: Domain Shift and Subject-Level Robustness

    Aug 31, 2026Anh T. Nguyen, Zihua Sun, Michelle J. JohnsonCross-Subject EEG DecodingMI Classification

    School of Engineering and Applied Science, Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA · School of Engineering and Applied Science, Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA · Department of Physical Medicine and Rehabilitation, Department of Bioengineering, and Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, USA

  19. EEG-PRIME: Prototype-Aligned Representation Learning with Multi-Level Conditioning for EEG Decoding

    Aug 13, 2026Shuailei Zhang, Muyun Jiang, Wei Zhang +5Cross-Subject EEG DecodingZero-Shot Learning

    College of Computing and Data Science, Nanyang Technological University, Singapore · Southeast University, China · Centre for AI in Medicine, Nanyang Technological University, Singapore

  20. Continuous-Latent Predictive Modeling with Semantic Alignment for EEG-Language Foundation Models

    Aug 12, 2026Myeong-Ju Cho, Hye-Bin Shin, Seo-Hyun Lee +1EEG DecodingPredictive Representation Learning

    Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea · Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea

  21. ZIPBrain: Can EEG Foundation Models Be Faster, Locally Deployable, but Accurate?

    Aug 7, 2026Lingwei Li, Yirong Kan, Peng Chen +3Efficient Transformer InferenceToken Merging

    Nara Institute of Science and Technology, Nara, Japan · RIKEN Center for Computational Science, Hyogo, Japan · University of Illinois Urbana-Champaign, USA +1

  22. STEAM: A Spatio-TEmporal Alignment Mixture-of-Experts Model with Hierarchical Pre-training for EEG Decoding

    Aug 3, 2026Zhu Chen, Dingkun Liu, Yuheng Chen +1Brain-Computer InterfacesEEG Decoding

    Ministry of Education Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China · Zhongguancun Academy, Beijing 100094, China

  23. Understanding and Correcting Low-Frequency Bias in EEG Foundation Model

    Aug 3, 2026Junjie Yu, Zihan Deng, Jianyu Zhang +8Masked AutoencodersSelf-Supervised Pre-Training

    Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China · Omni-Intelligence, Shenzhen, China · College of Design and Engineering, National University of Singapore, Singapore +4

  24. EEG-JEPA: Structured Latent Prediction for EEG Foundation Models

    Jul 31, 2026Jinhao Li, Zhiyuan Ma, Xueqiao Han +8Self-Supervised Time Series Representation LearningJoint-Embedding Predictive Architecture

    Tsinghua Laboratory of Brain and Intelligence, Tsinghua University · School of Basic Medical Sciences, Tsinghua Medicine, Tsinghua University · School of Biomedical Engineering, Tsinghua Medicine, Tsinghua University +2

  25. S-CEReBrO: Breaking the Memory Barrier in Continuous EEG Monitoring

    Jul 30, 2026Glenn Anta Bucagu, Thorir Mar Ingolfsson, Yawei Li +1Efficient Transformer InferenceElectroencephalography

    ETH Zurich, Zurich, Switzerland · Nanyang Technological University, Singapore · University of Bologna, Bologna, Italy

  26. ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution

    Jul 29, 2026Christopher Warner, Jonas Mago, JR Huml +1ElectroencephalographyEEG Foundation Models

    Zyphra San Francisco, CA

  27. Do EEG Foundation Models Transfer to Speech? A Benchmark on Overt and Imagined Speech Decoding

    Jul 29, 2026Owais Mujtaba Khanday, Mohamed Baha Ben Ticha, Sanae Belfrouh +2EEG DecodingEEG Foundation Models

    Dept. Signal Theory, Telematics and Communications, University of Granada, Spain · Research Centre for Information and Communication Technologies (CITIC-UGR), Spain · Laboratory of Information Technologies, University of Chouaib Doukkali, Morocco +1

  28. What EEG Foundation Models Encode: Dataset Identity and a Negative-Control Suite for Clinical Benchmarks

    Jul 27, 2026Marzieh ZareCross-Subject EEG DecodingElectroencephalography

    Universit´e Laval, School of Psychology, Quebec City, QC, Canada · NeuroGenis Inc., Toronto, ON, Canada

  29. Cross-Cohort Spectral-Temporal Dissociation in Frozen EEG Foundation-Model Representations

    Jul 23, 2026Marzieh ZareElectroencephalographyEEG Decoding

    Universit´e Laval, School of Psychology, Quebec City, QC, Canada · NeuroGenis Inc., Toronto, ON, Canada

  30. MSBraM: A Multi-scale Self-supervised Brain Foundation Model for Hierarchical EEG Dynamics Learning

    Jul 23, 2026Tao Zhou, Jing Han, Lingyu Shu +1ElectroencephalographySelf-Supervised Pre-Training

    Hunan University Changsha, China