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

  31. Multimodal Pretraining for Generalizable EEG Representation Learning

    Jul 23, 2026Targol Bakhtiarvand, Jugal Kalita, Adham AtyabiCross-Subject EEG DecodingElectroencephalography

    Department of Computer Science, University of Colorado Colorado Springs, Colorado Springs, CO, USA

  32. DiffEEG: A Self-Supervised Denoising Diffusion Model for Learning EEG Generic Representations

    Jul 13, 2026Abdulkader Helwan, Lina Abou-Abbas, Hussein El Amouri +2ElectroencephalographyEEG Seizure Detection

    Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon · Institute of Applied Artificial Intelligence, T´ELUQ University, Montreal, Canada

  33. CoCoT-EEG: Contrastive-Pretrained Multiscale Convolutional Transformer for EEG Decoding

    Jul 10, 2026Gabriel Mahuas, Victoria Shevchenko, Ugo Tanielian +2Contrastive LearningHybrid CNN-Transformer Architectures

    Sigma Nova Paris, France · Goethe University Frankfurt Frankfurt, Germany

  34. STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning

    Jul 7, 2026Roy Segal, Yoni Svechinsky, Tomer FeketeBrain Age PredictionSelf-Supervised Time Series Representation Learning

  35. NeuroOnline: Bridging Pretraining and Online Adaptation for EEG Foundation Models

    Jul 4, 2026Weibin Li, Wendu Li, Yushan You +2ElectroencephalographyContinual Test-Time Adaptation

    1Southern University of Science and Technology

  36. Stacked LoRA for Subject-Adaptive EEG Foundation Models in Motor Imagery Decoding

    Jul 3, 2026Aymen Sarhane, Fouad Lbakali, Mouad Souissi +2Cross-Subject EEG DecodingBrain-Computer Interfaces

    IMT Atlantique, Lab-STICC, Brest, France

  37. Device Passport: Enabling Spatio-Temporal Pretrained Models to Generalize Across Input Layouts

    Jun 30, 2026Geeling Chau, Ran Liu, Juri Minxha +5Representation LearningCross-Domain Transfer Learning

    California Institute of Technology, Pasadena, CA, USA · Apple, Cupertino, CA, USA

  38. Temporal Feature Extractors in EEG Foundation Models: A Controlled Comparison Including a Pretrained Time-Series Model

    Jun 29, 2026Ayşe Betül Yüce, Chris Joey Leffler, Sarun Varghese +2EEG DecodingTime-Series Foundation Models

    Otto von Guericke University Magdeburg, Artificial Intelligence Lab, Faculty of Computer Science, Magdeburg, Germany · Otto von Guericke University Magdeburg, Knowledge Management and Discovery Lab, Faculty of Computer Science, Magdeburg, Germany

  39. Foundation Models for Epileptogenic Zone Identification in Drug-Resistant Epilepsy

    Jun 21, 2026Thi Kieu Khanh Ho, Thomas Lai, Petr Klimes +5ElectroencephalographyMultimodal Foundation Models

    Department of Electrical and Computer Engineering, McGill University, Montr´eal, Quebec, Canada. · Mila-Quebec AI Institute, Montr´eal, Quebec, Canada. · Montreal Neurological Institute and Hospital, McGill University, Montr´eal, Quebec, Canada. +5

  40. B[FM]2^2: Brain Foundation Model via Flow Matching with SplitUNet

    Jun 18, 2026Jaedong Hwang, Kathleen Zhang, Wei Dai +5Flow MatchingEEG Decoding

    Massachusetts Institute of Technology · KU Leuven

  41. Evaluation of EEG Foundation Models for Event-Based Burst-Suppression Detection in ICU

    Jun 18, 2026Elisa Vasta, Thorir Mar Ingolfsson, Andrea Cossettini +4ElectroencephalographyEEG Foundation Models

    Neurocritical Care Unit, Institute for Intensive Care Medicine and Department of Neurosurgery, University Hospital Zürich and University of Zürich, Zürich, Switzerland · Integrated Systems Laboratory, ETH Zürich, Zürich, Switzerland · DEI, University of Bologna, Bologna, Italy

  42. NeuroShield: A Device-Agnostic Foundation Model for EEG Authentication

    Jun 12, 2026Matin Fallahi, Patricia Arias-Cabarcos, Thorsten StrufeBiometric IdentificationDomain Generalization

    Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany · Joint Research Centre, European Commission

  43. Zero-Shot Neural Priors for Generalizable Cross-Subject and Cross-Task EEG Decoding

    Jun 12, 2026Baimam Boukar Jean Jacques, Brandone Fonya, Nchofon Tagha Ghogomu +2Cross-Subject EEG DecodingZero-Shot Learning

    Carnegie Mellon University

  44. Pretrained, Frozen, Still Leaking: Auditing Cross-Encoder Attribute Transfer in EEG Foundation Models

    Jun 8, 2026Jianwei TaiData LeakageAdversarial Attacks

    School of Internet, Anhui University

  45. A spectral audit framework reveals task-dependent aperiodic reliance across EEG and ECG deep learning

    Jun 7, 2026Jasmeet Singh Bindra, Siddharth PanwarElectroencephalographyTime Series Classification

    Indian Knowledge Systems and Mental Health Applications (IKSMHA) Center, Indian Institute of Technology Mandi, Himachal Pradesh, India. · School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Himachal Pradesh, India.

  46. The Identity Trap in EEG Foundation Models: A Diagnostic Audit

    Jun 4, 2026Jun-You Lin, Ying Choon Wu, Tzyy-Ping JungCross-Subject EEG DecodingEEG Decoding

    School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan · Swartz Center for Computational Neuroscience, University of California, San Diego, La Jolla, CA 92037, USA

  47. EvoBrain: Continual Learning of EEG Foundation Models Across Heterogeneous BCI Tasks

    Jun 1, 2026Yangxuan Zhou, Sha Zhao, Jiquan Wang +2Brain-Computer InterfacesEEG Decoding

    State Key Laboratory of Brain-machine Intelligence and College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China · MOE Frontier Science Center for Brain Science and Brain-Machine Integration, Zhejiang University, Hangzhou, Zhejiang, China

  48. OmniEEG-Bench: A Standardized Evaluation Benchmark for EEG Foundation Models

    May 30, 2026Ziling Lu, Zongsheng Li, Xinke Shen +11Brain-Computer InterfacesBenchmark Design

    Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China · School of Computer Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China · Omni-Intelligence, Shenzhen, China +1

  49. Benchmarking Positional Encoding Strategies for Transformer-Based EEG Foundation Models

    May 28, 2026Ayse Betul Yuce, Sebastian StoberMI ClassificationEEG Decoding

    Department of Computer Science, Otto von Guericke University, Magdeburg, Germany

  50. A Multi-dimensional Framework for Evaluating Generalization in EEG Foundation Models

    May 27, 2026Aditya Kommineni, Emily Zhou, Kleanthis Avramidis +2Neural Network GeneralizationEEG Decoding

    Signal Analysis and Interpretation Laboratory, University of Southern California, USA

  51. EEG-FM-Audit: A Systematic Evaluation and Analysis Pipeline for EEG Foundation Models

    May 26, 2026Xianheng Wang, Yige Yang, Damien CoyleEEG DecodingExplainability Evaluation

    Bath Institute for the Augmented Human University of Bath Bath, BA2 7AY · Department of Computer Science University of Bath Bath, BA2 7AY

  52. Aperiodic and Low-Frequency Spectral Bias in Reconstruction based EEG Foundation Models

    May 26, 2026Aditya Kommineni, Emily Zhou, Kleanthis Avramidis +7Self-Supervised Time Series Representation LearningEEG Decoding

    Ming Hsieh Department of Electrical and Computer Engineering1 University of Southern California · Thomas Lord Department of Computer Science2[cs.LG] University of Southern California · Department of Mathematical Sciences3 Aalborg University

  53. BandVQ: Band-Wise Vector-Quantized EEG Foundation Model

    May 24, 2026Jamiyan Sukhbaatar, Satoshi Imamura, Toshihisa TanakaCross-Subject EEG DecodingMasked Autoencoders

    National University of Mongolia, Ulaanbaatar, Mongolia · Tokyo University of Agriculture and Technology, Tokyo, Japan

  54. DARE-EEG: A Foundation Model for Mining Dual-Aligned Representation of EEG

    May 18, 2026Yang Shao, Peiliang Gong, Qun Dai +1Masked AutoencodersSelf-Supervised Pre-Training

    College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics Nanjing, Jiangsu, China

  55. Visualizing the Invisible: Generative Visual Grounding Empowers Universal EEG Understanding in MLLMs

    May 18, 2026Jun-Yu Pan, Yansen Wang, Enze Zhang +3EEG DecodingEEG-Based Visual Decoding

    Shanghai Jiao Tong University Shanghai, China · Microsoft Research Asia Shanghai, China

  56. Beyond Accuracy: Robustness, Interpretability and Expressiveness of EEG Foundation Models

    May 17, 2026Urban Širca, Maryam Alimardani, Stefanos Zafeiriou +1EEG DecodingNeural Network Interpretability

    Vrije Universiteit Amsterdam · Imperial College London

  57. NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces

    May 14, 2026Konstantinos Kontras, Trui Osselaer, Stylianos G. Mouslech +12ElectroencephalographyBrain-Computer Interfaces

    KU Leuven · MIT

  58. Mechanistic Interpretability of EEG Foundation Models via Sparse Autoencoders

    May 13, 2026William Lehn-Schiøler, Magnus Ruud Kjær, Rahul Thapa +10Sparse AutoencodersMechanistic Interpretability

    BrainCapture, Kongens Lyngby, Denmark · DTU Health Tech, Technical University of Denmark, Kongens Lyngby, Denmark · DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark +5

  59. KAST-BAR: Knowledge-Anchored Semantically-Dynamic Topology Brain Autoregressive Modeling for Universal Neural Interpretation

    May 13, 2026Haoning Wang, Wenchao Yang, Shuai Shen +1EEG DecodingMultimodal Pretraining

    School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. · School of Biological Science and Medical Engineering, Beihang University, Beijing, China. · State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China. +1

  60. From Clever Hans to Scientific Discovery: Interpreting EEG Foundational Transformers with LRP

    May 12, 2026Justus Meyer zu Bexten, Nico Scherf, Bogdan Franczyk +1Transformer InterpretabilityEEG Decoding

    Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden/Leipzig, Leipzig University · Neural Data Science and Statistical Computing, Max Planck Institute for Human Cognitive and Brain Sciences · Faculty of Economics, Leipzig University +1