EEG Decoding

EEG: Electroencephalography

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Overview

EEG decoding studies how electrical activity recorded at the scalp can reveal brain states or support tasks such as motor-imagery control, sleep staging, auditory attention, and speech or image reconstruction. Approaches range from filtering, spectral features, common spatial patterns, and Riemannian covariance methods to CNNs, Transformers, state-space models, and self-supervised foundation models; generative systems also align EEG with text, images, or audio. A central challenge is generalizing across people, sessions, devices, and electrode layouts, since EEG is noisy and individual recordings vary substantially. Foundation models and increasingly broad benchmarks are expanding the toolkit, but their advantages over task-specific models are inconsistent, and leakage, shortcuts, privacy, and realistic cross-subject evaluation remain important concerns.

Latest papers

CardsList

210 papers27 papers in the last four weeks, down 4% on the four weeks before. 0.2% of all new papers.

  1. EEG-Based Decoding of Musical Mode and Melodic Direction Using Empirical Mode Decomposition

    Oct 27, 2026Sergio Guillén, Lorenzo J. Tardón, Ana M. Barbancho +1EEG DecodingMusic Understanding

    AUG Research Group. ITIS Software, Universidad de Málaga, 29071 Málaga, Spain

  2. Physiology-Informed Audio Quality and Listening Effort Estimation

    Oct 27, 2026Niall McGuire, Dimitra EmmanouilidouSpeech Quality AssessmentEEG Decoding

    University of Strathclyde, Glasgow, UK · Microsoft Research, Redmond, WA, USA

  3. ORBITAL: Optimization of Robust Brain--Computer Inference Through Architecture-Aware Low-Precision Compression

    Oct 26, 2026Saim Rehman, Muhammad ShafiqueAdversarial RobustnessBrain-Computer Interfaces

    eBRAIN Lab, New York University Abu Dhabi, Abu Dhabi, UAE

  4. NOMAD-EEG: Native Omni-Montage Adaptive Diffusion

    Oct 26, 2026Abdulkader Helwan, Khadidja Henni, Lina Abou-AbbasElectroencephalographyEEG Foundation Models

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

  5. EEGBiFormer: Real-Time EEG Attention Classification via Hybrid CNN-Transformer with EEG-Informed Auditory Protocol Validation

    Oct 24, 2026Isabella GuanEEG Decoding

    Lake Washington High School, Kirkland, WA, USA

  6. FOCUS: A Lightweight Mamba-2 Model for EEG-Based Cognitive Workload Classification

    Oct 23, 2026Ioannis Kyprakis, Stefanos Gkikas, Chariklia Chatzaki +3EEG DecodingLightweight Neural Networks

    Hellenic Mediterranean University, Heraklion, Greece · Honda Research Institute Japan, Wako City, Japan · University of Canberra, Canberra, Australia +1

  7. Controlled Evaluation of EEG Foundation Models: Random Initialisation, Band-Power and Validation-Selected Probes

    Oct 23, 2026Mingyu Jeon, Suwan Cho, Jae Young SuhEEG Foundation ModelsEEG Decoding

    Modulabs, Seoul, Republic of Korea

  8. Memory-Augmented Online Test-Time Adaptation for EEG Motor Imagery via Perturbation Consistency and Confidence Calibration

    Oct 21, 2026Kunkun Zhang, Kehao Wu, Zhitao Chen +2EEG DecodingBrain-Computer Interfaces

    College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China · Zhejiang Key Laboratory of Visual Information Intelligent Processing, Hangzhou 310023, China

  9. Region-Specific EEG Classification of Hypnotic Susceptibility Using a Sliding-Window 2D CNN: A Subject-Independent Evaluation

    Oct 20, 2026Krzysztof Wrobel, Grzegorz M. WojcikClassificationCross-Subject EEG Decoding

    Department of Neuroinformatics and Biomedical Engineering, Institute of Computer Science, Maria Curie-Skłodowska University, Lublin, Poland

  10. EEG-Based Classification of Hypnotic Susceptibility Using Two-Dimensional Convolutional Neural Networks

    Oct 20, 2026Krzysztof Wrobel, Grzegorz M. Wojcik, Filip Postepski +3ClassificationEEG Decoding

    Department of Neuroinformatics and Biomedical Engineering, Institute of Computer Science, Maria Curie-Skłodowska University, Akademicka 9, 20-031 Lublin, Poland · Institute of Psychology, SWPS University, Chodakowska 19/31, 03-815 Warsaw, Poland

  11. NeuroAct: Advancing EEG Analysis and Decoding via Dual-Loop Autonomous Research

    Oct 18, 2026Wei Xiong, Jiangtong Li, Han Zhao +3EEG DecodingAutonomous Research Agents

    Tongji University · Ant Group · Shanghai Jiao Tong University +1

  12. TriRouter: Sparse-to-Dense Electrode-Space Routing for Robust EEG Motor Imagery Decoding

    Oct 16, 2026Ying Zhou, Yaoxin, Mengting LiuBrain-Computer InterfacesEEG Decoding

    School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University · University of Waterloo

  13. Deep LLM layers expose passage-level context in EEG during silent reading

    Oct 16, 2026Ingo Marquardt, Anthilia Alchanat, Priyanka JainEEG DecodingEEG-to-Text Decoding

    nubrain

  14. GRAFT-EEG: Gauge-Aware Physical Field Transport for Cross-Dataset Motor-Imagery EEG

    Oct 16, 2026Ying Zhou, Mengting LiuCross-Session EEG DecodingEEG Decoding

    School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University

  15. Cross-subject decoding of imagined speech from scalp EEG: a leakage-controlled evaluation on three public corpora

    Oct 14, 2026Blessing Isoyiza Adeika, Onyema OsuagwuCross-Subject EEG DecodingBrain-Computer Interfaces

    Morgan State University, Baltimore, Maryland, United States of America

  16. Semantic Alignment of EEG and Text: A Contrastive Learning Framework for Decoding Imagined Speech

    Oct 14, 2026Shahryar G. Namdari, Francesco Iacomi, Riccardo Barbieri +1EEG DecodingEEG-to-Text Decoding

    Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, 20133, Italy

  17. Merit: Making every modality earn its contribution in multimodal attention decoding

    Oct 13, 2026Ali Alavi, Donald S. WilliamsonNeural DecodingEEG Decoding

    Department of Computer Science and Engineering The Ohio State University Columbus, OH 43210, USA

  18. Brain2Face: A Study on the Relation of EEG Signals and Spatio-temporal Head Avatars

    Oct 12, 2026Camilo Andrés Martínez Martínez, Olaf Dünkel, Kartik Teotia +3EEG-Based Visual DecodingEEG Decoding

    Max Planck Institute for Informatics, Saarland Informatics Campus · German Research Center for Artificial Intelligence (DFKI)

  19. Time Window Optimization for Motor Imagery Classification via Temporal Structure Embedded Reinforcement Learning

    Oct 12, 2026Huan Luo, Na Lu, Xiaopeng Wang +1MI ClassificationEEG Decoding

    School of Future Technology, Xi’an Jiaotong University, Xi’an, 710049, China · School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an, 710049, China

  20. Teaching neural decoders with language

    Oct 9, 2026Xuan Wen, Yonghao Song, Yuhong Zhang +3Neural DecodingEEG Decoding

    Tsinghua University · University of California, San Diego

  21. SPD-MetaFormer is what you need for small-data brain decoding

    Oct 7, 2026Zhida Wang, Wei Lyu, Guo Yu +1Small-Data LearningEEG Decoding

  22. A multi-scenario EEG dataset for auditory attention decoding in naturalistic multi-talker environments

    Oct 7, 2026Shu Peng, Rui Liu, Yufei Zhang +7EEG DecodingSpeech Processing

    Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University, Hong Kong SAR, China · Department of Computing, The Hong Kong Polytechnic University, Hong Kong SAR, China

  23. Multimodal LLMs Can Learn to Read Brain Signals: A Vision--Language Model for Unified Multi-Task EEG Decoding

    Oct 7, 2026Parastoo Azizeddin, Omid Sharafi, Maryam M. ShanechiEEG DecodingMultimodal Foundation Models

    Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California · Thomas Lord Department of Computer Science, University of Southern California · Alfred E. Mann Department of Biomedical Engineering, University of Southern California +1

  24. Benchmarking Label-Revealed Online Updates for EEG BCI Decoding

    Oct 5, 2026Bogdan Kozyrskiy, Artem Grachev, Abraham I. Camelo GuerreroBrain-Computer InterfacesEEG Decoding

    Independent Researcher, France · Independent Researcher, Germany · School of Information Technology, York University, Toronto, Canada

  25. ZeroMAG: Zero-Shot Multimodal Adapter Generation for Plug-and-Play EEG Foundation Models

    Oct 2, 2026Yubo Wang, Jingying Ma, Xinliang Zhou +8Multimodal LearningEEG Foundation Models

    Brown University · Stanford University · National University of Singapore +4

  26. Contrastive Neural Embeddings Reveal Individual Traits Beyond Conversational Role

    Oct 2, 2026Hubert Huang, Michelle McCleod, Brendan Ames +1Neural Representation GeometryContrastive Learning

    Stanford University, Palo Alto, CA 94305, USA · University of Alabama, Tuscaloosa, AL 35401, USA · University of Southampton, Southampton SO17 1BJ, UK

  27. 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

  28. NEUROTOKEN: Joint Source and Directional AAD with Envelope Decoding via Conditional Flow Matching

    Sep 30, 2026Ali Alavi, Donald S. WilliamsonNeural DecodingEEG Decoding

    Department of Computer Science and Engineering Ohio State University Columbus, OH, 43210

  29. Best Practices in EEG Analysis: Preprocessing, Modeling, and Machine Learning

    Sep 29, 2026Parsa Razmara, Woojae Jeong, Aditya Kommineni +3ElectroencephalographyEEG Decoding

    University of Southern California · McGill University

  30. AutoBCI: Forecast-Guided Agentic Neural Architecture Discovery for EEG-Based Brain--Computer Interfaces

    Sep 28, 2026Muyun Jiang, Yi Ding, Wei Zhang +9Brain-Computer InterfacesLarge Language Model-Guided NAS

    Nanyang Technological University, Singapore · The University of Hong Kong, Hong Kong, China · Southeast University, China