EEG Decoding

EEG: Electroencephalography

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. LAtte: Hyperbolic Lorentz Attention for Cross-Subject EEG Classification

    Mar 11, 2026Ahmad Bdeir, Johannes Burchert, Tom Hanika +2Cross-Subject EEG DecodingElectroencephalography

  2. EEG-Based Brain-LLM Interface for Human Preference Aligned Generation

    Mar 3, 2026Junzi Zhang, Jianing Shen, Weijie Tu +5Brain-Computer InterfacesHuman Preference Modeling

  3. Expectation and Acoustic Neural Network Representations Enhance Music Identification from Brain Activity

    Mar 3, 2026Shogo Noguchi, Taketo Akama, Tai Nakamura +2EEG DecodingPredictive Representation Learning

  4. SHINE: Sequential Hierarchical Integration Network for EEG and MEG

    Feb 27, 2026Xiran Xu, Yujie Yan, Songyi Li +4ElectroencephalographyNeural Processes

  5. Scattering Transform for Auditory Attention Decoding

    Feb 26, 2026René Pallenberg, Fabrice Katzberg, Alfred Mertins +1Wavelet Scattering TransformsEEG Decoding

  6. RepSPD: Enhancing SPD Manifold Representation in EEGs via Dynamic Graphs

    Feb 26, 2026Haohui Jia, Zheng Chen, Lingwei Zhu +4EEG DecodingGeometric Representation Learning

  7. Relating the Neural Representations of Vocalized, Mimed, and Imagined Speech

    Feb 26, 2026Maryam Maghsoudi, Rupesh Chillale, Shihab A. ShammaEEG DecodingNeural Decoding

  8. Deep Convolutional Architectures for EEG Classification: A Comparative Study with Temporal Augmentation and Confidence-Based Voting

    Feb 25, 2026Aryan Patodiya, Hubert CecottiEEG Decoding3D CNNs

  9. One Brain, Omni Modalities: Towards Unified Non-Invasive Brain Decoding with Large Language Models

    Feb 25, 2026Changli Tang, Shurui Li, Junliang Wang +8Neural DecodingMultimodal Fusion

  10. Hierarchic-EEG2Text: Assessing EEG-To-Text Decoding across Hierarchical Abstraction Levels

    Feb 24, 2026Anupam Sharma, Harish Katti, Prajwal Singh +2EEG DecodingEEG-to-Text Decoding

  11. EEG-Driven Intention Decoding: Offline Deep Learning Benchmarking on a Robotic Rover

    Feb 23, 2026Ghadah Alosaimi, Maha Alsayyari, Yixin Sun +3Brain-Computer InterfacesEEG Decoding

  12. DECAF: Dynamic Envelope Context-Aware Fusion for Speech-Envelope Reconstruction from EEG

    Feb 23, 2026Karan Thakkar, Mounya ElhilaliEEG DecodingSpeech Processing

  13. Online decoding of rat self-paced locomotion speed from EEG using recurrent neural networks

    Feb 20, 2026Alejandro de Miguel, Nelson Totah, Uri MaozEEG DecodingBrain-Computer Interfaces

  14. Sparse Bayesian Modeling of EEG Channel Interactions Improves P300 Brain-Computer Interface Performance

    Feb 19, 2026Guoxuan Ma, Yuan Zhong, Moyan Li +2Brain-Computer InterfacesEEG Decoding

  15. Adaptive Semi-Supervised Training of P300 ERP-BCI Speller System with Minimum Calibration Effort

    Feb 17, 2026Shumeng Chen, Jane E. Huggins, Tianwen MaBrain-Computer InterfacesEEG Decoding

  16. NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG Analysis Pipelines

    Feb 13, 2026Guoan Wang, Shihao Yang, Feng LiuEvolutionary OptimizationEEG Decoding

  17. AnySleep: a channel-agnostic deep learning system for high-resolution sleep staging in multi-center cohorts

    Dec 16, 2025Niklas Grieger, Jannik Raskob, Siamak Mehrkanoon +1ElectroencephalographySleep Stage Classification

  18. NeuroSketch: A Practical Design Recipe for Neural Decoding

    Dec 10, 2025Gaorui Zhang, Zhizhang Yuan, Jialan Yang +4Brain-Computer InterfacesNeural Decoding

  19. Geometry-Aware Deep Congruence Networks for Manifold Learning in Cross-Subject Motor Imagery

    Nov 24, 2025Sanjeev Manivannan, Chandra Shekar LakshminarayanCross-Subject EEG DecodingMI Classification

  20. What your brain activity says about you: A review of neuropsychiatric disorders identified in resting-state and sleep EEG data

    Oct 6, 2025J. E. M. Scanlon, A. Pelzer, M. Gharleghi +6ElectroencephalographyEEG Decoding

  21. EEG-based AI-BCI Wheelchair Advancement: Transformer-Based Learning with Motor Imagery for Brain Computer Interface

    Sep 30, 2025Bipul Thapa, Biplov Paneru, Bishwash Paneru +1MI ClassificationBrain-Computer Interfaces

  22. BrainPro: Process-conditioned Pretraining with Topographic Retrieval for Large EEG Models

    Sep 26, 2025Yi Ding, Muyun Jiang, Weibang Jiang +6EEG Foundation ModelsRepresentation Learning

  23. SingLEM: Single-Channel Large EEG Model

    Sep 22, 2025Jamiyan Sukhbaatar, Satoshi Imamura, Ibuki Inoue +5Representation LearningSelf-Supervised Time Series Representation Learning

  24. Sleep Stage Classification across Heterogeneous EEG/EOG Channels with Multi-Channel Differential Transformer

    Aug 21, 2025Benjamin Wei Hao Chin, Yuin Torng Yew, Jia Hong Puah +6Sleep Stage ClassificationTransformer

  25. A foundation model with multi-variate parallel attention to generate neuronal activity

    Jun 25, 2025Francesco Carzaniga, Michael Hersche, Abu Sebastian +2ElectroencephalographyEEG Decoding

  26. KnowEEG: Explainable Knowledge Driven EEG Classification

    May 1, 2025Amarpal Sahota, Navid Mohammadi Foumani, Raul Santos-Rodriguez +1ElectroencephalographyEEG Decoding

  27. A Survey on Bridging EEG Signals and Generative AI: From Image and Text to Beyond

    Feb 17, 2025Shreya Shukla, Jose Torres, Akshaj Murhekar +4EEG DecodingEEG-Based Visual Decoding

  28. Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training

    Apr 10, 2024Johannes Burchert, Thorben Werner, Vijaya Krishna Yalavarthi +3Time Series ClassificationCross-Subject EEG Decoding