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. Spatiotemporal Convolutions on EEG signal -- A Representation Learning Perspective on Efficient and Explainable EEG Classification with Convolutional Neural Nets

    May 5, 2026Laurits Dixen, Stefan Heinrich, Paolo BurelliEfficient Neural Network InferenceMI Classification

    IT University of Copenhagen Denmark

  2. Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods

    Apr 29, 2026Taida Li, Yujun Yan, Fei Dou +2Cross-Subject EEG DecodingEEG Decoding

    Department of Computer Science, University of North Carolina at Charlotte, Charlotte, United States · Department of Computer Science, Dartmouth College, Hanover, United States · School of Computing, University of Georgia, Athens, United States +1

  3. Task-guided Spatiotemporal Network with Diffusion Augmentation for EEG-based Dementia Diagnosis and MMSE Prediction

    Apr 27, 2026Xiaoyu Zheng, Xu Tian, Bin Jiao +4Alzheimer's DiseaseElectroencephalography

    Xinjiang Engineering Research Center of Big Data and Intelligent Software, School of Software, Xinjiang University, Urumqi 830091, China. · Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China. · Department of Neurology, Xiangya Hospital, Central South University, Changsha 410083, China. +1

  4. Channel Adaptation for EEG Foundation Models: A Systematic Benchmark Across Architectures, Tasks, and Training Regimes

    Apr 25, 2026Kuntal Kokate, Bruno Aristimunha, Dung Truong +1Fine-TuningEEG Decoding

    Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, CA 92093, USA · Yneuro, Paris, France · Centre de Recherche Cerveau et Cognition, CNRS, Université Paul Sabatier, Toulouse, France

  5. NAKUL-Med: Spectral-Graph State Space Models with Dynamics Kernels for Medical Signals

    Apr 24, 2026Badri N. Patro, Vijay S. AgneeswaranElectroencephalographyNeural Decoding

    Microsoft

  6. Leakage-Audited Benchmarking Reveals Limited Evidence for Cross-Subject Auditory-Evoked EEG Vowel Perception Decoding

    Apr 22, 2026Xiaoyang Li, Zeyan TaoCross-Subject EEG DecodingElectroencephalography

    College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110016, China

  7. Mind2Drive: Predicting Driver Intentions from EEG in Real-world On-Road Driving

    Apr 21, 2026Ghadah Alosaimi, Hanadi Alhamdan, Wenke E +3ElectroencephalographyEEG Decoding

    Department of Computer Science, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia · Department of {2Computer Science, 3Engineering}, Durham University, UK · Department of Computer Science, Princess Nourah bint Abdulrahman University, Saudi Arabia

  8. Foundation Model Guided Dual-Branch Co-Adaptation for Source-Free EEG Decoding

    Apr 21, 2026Peiliang Gong, Han Zhang, Zhen Jiang +5Cross-Subject EEG DecodingSource-Free Domain Adaptation

    College of Computing and Data Science, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore · College of Artifical Intelligence and Automation, Hohai University, Changzhou 213022, China · College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China +2

  9. One-Block Transformer (1BT) for EEG-Based Cognitive Workload Assessment

    Apr 21, 2026Stefanos Gkikas, Christian Arzate Cruz, Thomas Kassiotis +3Efficient Neural Network InferenceTransformer

    Honda Research Institute Japan · Wako City, Japan · Department of Electronic Engineering +6

  10. EEG-Based Emergency Braking Intensity Prediction Using Blind Source Separation

    Apr 20, 2026Zikun Zhou, Wenshuo Wang, Wenzhuo Liu +5Independent Component AnalysisEEG Decoding

    School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China

  11. DSAINet: An Efficient Dual-Scale Attentive Interaction Network for General EEG Decoding

    Apr 20, 2026Zhiyuan Ma, Zeyuan Li, Zihao Qiu +6Cross-Subject EEG DecodingEEG Decoding

    School of Biomedical Engineering, Tsinghua Laboratory of Brain and Intelligence, and IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China · School of Basic Medical Sciences and Tsinghua Laboratory of Brain and Intelligence, Tsinghua University, Beijing 100084, China · Department of Psychological and Cognitive Sciences, Tsinghua University, Beijing 100084, China +1

  12. PA-TCNet: Pathology-Aware Temporal Calibration with Physiology-Guided Target Refinement for Cross-Subject Motor Imagery EEG Decoding in Stroke Patients

    Apr 17, 2026Xiangkai Wang, Yun Zhao, Dongyi He +5Cross-Subject EEG DecodingBrain-Computer Interfaces

    School of Artificial Intelligence, Chongqing University of Technology, Chongqing 401135, China; Chongqing Key Laboratory of Embodied Intelligence Perception and Autonomous Learning for Humanoid Robots; Key Laboratory of Advanced Equipment Intelligence of the Chongqing Education Commission, Chongqing 401135, China · School of Smart Health, Chongqing Polytechnic University of Electronic Technology, Chongqing 401131, China · Department of Language Science and Technology, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China +2

  13. DLink: Distilling Layer-wise and Dominant Knowledge from EEG Foundation Models

    Apr 16, 2026Jingyuan Wang, Zhihao Jia, Chenyu Liu +7Efficient Neural Network InferenceEEG Decoding

    1Xiamen University · 2Nanyang Technological University · Institute of Automation, Chinese Academy of Sciences +1

  14. MPNet: A Robust and Efficient Manifold Pooling Network for Multi-Rhythm EEG Signal Decoding

    Apr 11, 2026Guoqing Cai, Kai Zeng, Shoulin Huang +1Riemannian Neural NetworksEEG Decoding

    Harbin Institute of Technology (Shenzhen), Shenzhen, China · Guangxi Normal University, Guilin, China · Peng Cheng Laboratory, Shenzhen, China

  15. EEG2Vision: A Multimodal EEG-Based Framework for 2D Visual Reconstruction in Cognitive Neuroscience

    Apr 9, 2026Emanuele Balloni, Emanuele Frontoni, Chiara Matti +3EEG-Based Visual DecodingEEG Decoding

    Department of Civil Engineering Building and Architecture (DICEA), Universit`a Politecnica delle Marche, Via Brecce Bianche 12, Ancona, 60131, Italy · Department of Political Sciences, Communication and International Relations, University of Macerata, Via Don Minzoni 22A, Macerata, 62100, Italy · Horizon Intelligence Labs +1

  16. Brain-to-Speech: Prosody Feature Engineering and Transformer-Based Reconstruction

    Apr 7, 2026Mohammed Salah Al-Radhi, Géza Németh, Andon Tchechmedjiev +1EEG DecodingNeural Decoding

    Department of Telecommunications and Artificial Intelligence, Budapest University of Technology and Economics, Budapest, Hungary · EuroMov Digital Health in Motion, University of Montpellier, IMT Mines Alès, Montpellier, France

  17. How Long short-term memory artificial neural network, synthetic data, and fine-tuning improve the classification of raw EEG data

    Apr 5, 2026Albert Nasybullin, Vladimir Maksimenko, Semen KurkinEEG DecodingTime Series Classification

    Laboratory of Data Analysis and Bioinformatics, Center for Artificial Intelligence, Innopolis University, Innopolis, Russia · Neuroscience and Cognitive Technology Laboratory, Center for Technologies in Robotics and Mechatronics Components, Innopolis University, Innopolis, Russia

  18. Convolutional Neural Network and Adversarial Autoencoder in EEG images classification

    Apr 5, 2026Albert Nasybullin, Semen KurkinEEG DecodingMI Classification

    Faculty of Computer Science and Engineering, Innopolis University, Innopolis, Russia · Neuroscience and Cognitive Technology Laboratory, Center for Technologies in Robotics and Mechatronics Components, Innopolis University, Innopolis, Russia

  19. Interpretable Fuzzy Modeling Reveals Population-Level Representation Differences in P300 Brain Computer Interfaces Across Neurodivergent and Neurotypical Cohorts

    Apr 4, 2026Xiaowei Jiang, Sudong Shang, Adrian Wilkinson +4Brain-Computer InterfacesEEG Decoding

    Computational Intelligence and Brain-Computer Interfaces lab, Australian AI Institute, Faculty of Engineering and Information Technology, University of Technology Sydney, 2007, Australia · Department of Management, Griffith Business School, 4215, Australia · Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA +2

  20. LI-DSN: A Layer-wise Interactive Dual-Stream Network for EEG Decoding

    Apr 2, 2026Chenghao Yue, Zhiyuan Ma, Zhongye Xia +4EEG DecodingNeural Decoding

    School of Life Sciences, Tsinghua University, Beijing 100084, China · School of Biomedical Engineering, Tsinghua Laboratory of Brain and Intelligence, and IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China · Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China +1

  21. NeuroPath: Practically Adopting Motor Imagery Decoding through EEG Signals

    Mar 30, 2026Jiani Cao, Kun Wang, Yang Liu +1MI ClassificationBrain-Computer Interfaces

    Department of Computer Science City University of Hong Kong Hong Kong, China · Department of Computer Science Florida State University Tallahassee, United States

  22. Q-DIVER: Integrated Quantum Transfer Learning and Differentiable Quantum Architecture Search with EEG Data

    Mar 30, 2026Junghoon Justin Park, Yeonghyeon Park, Jiook ChaQuantum Machine LearningHybrid Quantum-Classical ML

    Seoul National University, Seoul, Korea

  23. Copilot-Assisted Second-Thought Framework for Brain-to-Robot Hand Motion Decoding

    Mar 29, 2026Yizhe Li, Shixiao Wang, Jian K. LiuEEG DecodingBrain-Computer Interfaces

    University of Birmingham, Birmingham, United Kingdom · University of Birmingham

  24. Brain-CLIPLM: Semantic Compression for EEG-to-Text Decoding

    Mar 23, 2026Xiaoli Yang, Huiyuan Tian, Yurui Li +3EEG-to-Text DecodingEEG Decoding

    College of Computer Science and Technology, Zhejiang University, Hangzhou, China · State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China

  25. Riding Brainwaves in LLM Space: Understanding Activation Patterns Using Individual Neural Signatures

    Mar 23, 2026Ajan Subramanian, Sumukh Bettadapura, Rohan SathishEEG DecodingLanguage Model Probing

  26. CIPHER: Conformer-based Inference of Phonemes from High-density EEG

    Mar 22, 2026Varshith MadishettyEEG-to-Text DecodingConformer

  27. Variational Phasor Circuits for Phase-Native Brain-Computer Interface Classification

    Mar 18, 2026Dibakar SigdelMI ClassificationBrain-Computer Interfaces

    Mindverse Computing LLC, WA 98087

  28. SENSE: Efficient EEG-to-Text via Privacy-Preserving Semantic Retrieval

    Mar 17, 2026Akshaj Murhekar, Christina Liu, Abhijit Mishra +2EEG-to-Text DecodingEEG Decoding

    The University of Texas at Austin School of Information Austin, Texas, USA · Institute of Applied Computer Science Łódź University of Technology Poland

  29. SpecMoE: Spectral Mixture-of-Experts Foundation Model for Cross-Species EEG Decoding

    Mar 17, 2026Davy Darankoum, Chloé Habermacher, Julien Volle +1EEG DecodingEEG Foundation Models

    Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK 38000 Grenoble, France · SynapCell SAS, ZAC ISIPARC, 38330 Saint-Ismier, France

  30. The Deep-Match Framework for Event-Related Potential Detection in EEG

    Mar 11, 2026Marek Zylinski, Bartosz Tomasz Smigielski, Gerard CybulskiElectroencephalographyEEG Decoding

    Institute of Metrology and Biomedical Engineering, Faculty of Mechatronics, Warsaw University of Technology, Warsaw, Poland