Electroencephalography

Also known as EEG

Momentum

15 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 119

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  1. From Handcrafted Features to Functional Edge Learning: Evolution of EEG Seizure Detection Frameworks

    Jun 20, 2026Sepideh Kheirollahi, Mohammad Rasoul RoshanshahElectroencephalographyEEG Seizure Detection

  2. 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

  3. Coordinate-Queryable Neural Field Reconstruction for EEG Spatial Super-Resolution with Unseen-Electrode Generation

    Jun 12, 2026Hongjun Liu, Leyu Zhou, Zijianghao Yang +1Electroencephalography

  4. Reducing the Complexity of Deep Learning Models for EEG Analysis on Wearable Devices

    Jun 10, 2026Farough Shayeste Roodi, Parham Zilouchian Moghaddam, Mahdi Mohammadi-nasab +3ElectroencephalographyEEG Seizure Detection

  5. Spatially Masked Regression Reveals Local and Distributed Predictability in Electrophysiological Recordings

    Jun 9, 2026Maryam Ostadsharif Memar, Nima DehghaniElectroencephalography

  6. Sleep EEG Signal Criticality as a Non-Invasive Predictor of Cognitive Decline in Dementia

    Jun 9, 2026Stanisław Narębski, Tomasz Komendziński, Tomasz M. RutkowskiElectroencephalographyClinical Outcome Prediction

  7. Transformer Based Model for Spatiotemporal Feature Learning in EEG Emotion Recognition

    Jun 9, 2026Xinglong Cui, Dian GuElectroencephalographyTemporal Attention

  8. How Much Capacity Does EEG Denoising Need? Ultra-Compact Networks reveal Benchmark Saturation and Metric-Utility Gap

    Jun 7, 2026Jasmeet Singh Bindra, Siddharth PanwarElectroencephalographyNeural Network Compression

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

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

  10. Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging

    Jun 5, 2026Marco Morik, Xiao Ruiting, Shinichi Nakajima +2ElectroencephalographyBayesian Inverse Problems

  11. Channel-Oriented Design for EEG-to-Music Reconstruction

    Jun 2, 2026Jiaxin Qing, Junwei Lu, Lexin LiElectroencephalographyCross-Modal Representation Learning

  12. EEG-FuseFormer: A Transformer-Driven Feature Fusion Framework for Seizure Onset Prediction

    Jun 1, 2026Vigneshwar Hariharan, Chithra Reghuvaran, Arlene John +4ElectroencephalographyEEG Seizure Detection

  13. A 1000-hour EEG-EMG-audio dataset of Japanese speech production

    May 31, 2026Motoshige Sato, Ilya Horiguchi, Masakazu Inoue +6Electroencephalography

  14. Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection

    May 29, 2026Xiaojing Chen, Jingqi Cheng, Xu Zhao +2ElectroencephalographyDepression Detection

  15. EMAG: Differentiable 4D Gaussian Mixture Splatting for EEG Spatial Super-Resolution

    May 28, 2026Alex Lazarovich, Ofir Itzhak Shahar, Gur Elkin +1ElectroencephalographyGaussian Mixture Models

  16. Prior-Guided Frequency-Calibrated Virtual EEG Channel Inference from Four Frontal Electrodes for Wearable EEG Augmentation

    May 28, 2026Minghao XiaoElectroencephalography

  17. Comparing Post-Hoc Explainable AI Methods for Interpreting Black-Box EEG Models in Depression Detection

    May 27, 2026Antonia Šarčević, Nikolina FridGradient-Based AttributionElectroencephalography

  18. CaMBRAIN: Real-time, Continuous EEG Inference with Causal State Space Models

    May 27, 2026Abhilash Durgam, Nyle Siddiqui, Jeffrey A. Chan-Santiago +3Efficient Neural Network InferenceElectroencephalography

  19. Decoding Stimulus Reconstruction-Based Auditory Attention Robustly in Unbalanced EEG Datasets

    May 25, 2026Yuanming Zhang, Yayun Liang, Zhibin Lin +1Class-Imbalanced LearningElectroencephalography

  20. Assessing Region-Level EEG Contributions to Cognitive Workload Prediction

    May 23, 2026Jacob Wong, Sohan Singh, Prannaya Gupta +3ElectroencephalographyEEG Decoding

  21. TGSD: Topology-Guided State-Space Diffusion Framework for EEG Spatial Super-Resolution

    May 22, 2026Zijian Kang, Weiming Zeng, Yueyang Li +4ElectroencephalographyConditional Diffusion Models

  22. CLSP-REQA: A Real-Time Quality-Aware Closed-Loop Seizure Prediction Framework with Mamba-BiLSTM and Confidence-Gated Intervention

    May 21, 2026Mufeng Chen, Qi Wu, Bingchao Huang +4ElectroencephalographyEEG Seizure Detection

  23. L-FAME: Longitudinal Focused Attention Meditation EEG Dataset and Benchmark

    May 21, 2026Angqi Li, Ab Basit Rafi Syed, Hamzeh Alzweri +3ElectroencephalographyEEG Decoding

  24. Let EEG Models Learn EEG

    May 20, 2026Yifan Wang, Yijia Ma, Wen Li +1ElectroencephalographyTime Series Generation

  25. Classification of IED-free EEG Responses for Assisted Epilepsy Diagnosis

    May 19, 2026Giacomo Zanardini, Ryan Moesman, Paul van der Kleij +2ElectroencephalographyEEG Decoding

  26. Subject-Specific Analysis of Self-Initiated Attention Shifts from EEG with Controlled Internal and External Attention Conditions

    May 18, 2026Yuwen Zeng, Dengzhe Hou, Zhang Zhang +4ElectroencephalographyEEG Decoding

  27. Cross-Subject Intracranial EEG Reconstruction from Scalp Recordings Using Multi-Scale Cross-Attention Transformers

    May 17, 2026Tien-Dat Pham, Xuan-The TranCross-Subject EEG DecodingElectroencephalography

  28. Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis

    May 14, 2026Tawsik Jawad, Gowtham Atluri, Vikram RavindraElectroencephalographyTime Series Classification

  29. DeepTokenEEG Enhancing Mild Cognitive Impairment and Alzheimers Classification via Tokenized EEG Features

    May 14, 2026Thinh Nguyen-Quang, Minh Long Ngo, Ngoc-Son Nguyen +7ElectroencephalographyAlzheimer's Disease Classification