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EEG

Electroencephalography epilepsy

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Showing 51–100 of 2431 papers

TitleStatusHype
Advancing Brainwave Modeling with a Codebook-Based Foundation Model—0
Study of Brain Connectivity by Multichannel EEG Quaternion Principal Component Analysis for Alzheimer Disease Classification—0
EEG-Based Inter-Patient Epileptic Seizure Detection Combining Domain Adversarial Training with CNN-BiLSTM Network—0
Multi-modal Integration Analysis of Alzheimer's Disease Using Large Language Models and Knowledge Graphs—0
Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry—0
A Direct Comparison of Simultaneously Recorded Scalp, Around-Ear, and In-Ear EEG for Neural Selective Auditory Attention Decoding to Speech—0
EEG-to-Text Translation: A Model for Deciphering Human Brain ActivityCode1
QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems—0
SzCORE as a benchmark: report from the seizure detection challenge at the 2025 AI in Epilepsy and Neurological Disorders Conference—0
The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary studyCode0
BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals—0
ViEEG: Hierarchical Neural Coding with Cross-Modal Progressive Enhancement for EEG-Based Visual Decoding—0
Bridging BCI and Communications: A MIMO Framework for EEG-to-ECoG Wireless Channel Modeling—0
Covariance Density Neural Networks—0
Evaluation in EEG Emotion Recognition: State-of-the-Art Review and Unified FrameworkCode1
Spec2VolCAMU-Net: A Spectrogram-to-Volume Model for EEG-to-fMRI Reconstruction based on Multi-directional Time-Frequency Convolutional Attention Encoder and Vision-Mamba U-NetCode0
Automatic detection of abnormal clinical EEG: comparison of a finetuned foundation model with two deep learning models—0
Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning—0
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles—0
Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition—0
ALFEE: Adaptive Large Foundation Model for EEG RepresentationCode0
A brain-inspired generative model for EEG-based cognitive state identification—0
Low-dimensional representation of brain networks for seizure risk forecasting—0
A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities—0
MPEC: Manifold-Preserved EEG Classification via an Ensemble of Clustering-Based Classifiers—0
DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks—0
Pretraining Large Brain Language Model for Active BCI: Silent Speech—0
Towards Robust Multimodal Physiological Foundation Models: Handling Arbitrary Missing Modalities—0
A Neuro-Dynamic Mathematical Model of Dream Formation and Spontaneous Cognitive Activity—0
Subject-independent Classification of Meditative State from the Resting State using EEG—0
The use of Multi-domain Electroencephalogram Representations in the building of Models based on Convolutional and Recurrent Neural Networks for Epilepsy DetectionCode0
Seizure duration is associated with multiple timescales in interictal iEEG band power—0
A Simple Review of EEG Foundation Models: Datasets, Advancements and Future Perspectives—0
Unsupervised EEG-based decoding of absolute auditory attention with canonical correlation analysis—0
PhysioSync: Temporal and Cross-Modal Contrastive Learning Inspired by Physiological Synchronization for EEG-Based Emotion RecognitionCode1
A Statistical Approach for Synthetic EEG Data GenerationCode0
Time-Series Analysis on Edge-AI Hardware for Healthcare Monitoring—0
Dynamic Difficulty Adjustment With Brain Waves as a Tool for Optimizing Engagement—0
SSTAF: Spatial-Spectral-Temporal Attention Fusion Transformer for Motor Imagery Classification—0
Sub-Scalp Brain-Computer Interface Device Design and Fabrication—0
Multi-scale convolutional transformer network for motor imagery brain-computer interfaceCode2
Early Detection of Cognitive Impairment in Elderly using a Passive FPVS-EEG BCI and Machine Learning -- Extended Version—0
Time-varying EEG spectral power predicts evoked and spontaneous fMRI motor brain activity—0
Siamese Network with Dual Attention for EEG-Driven Social Learning: Bridging the Human-Robot Gap in Long-Tail Autonomous Driving—0
SeizureFormer: A Transformer Model for IEA-Based Seizure Risk Forecasting—0
CMCRD: Cross-Modal Contrastive Representation Distillation for Emotion RecognitionCode1
Artifact detection and localization in single-channel mobile EEG for sleep research using deep learning and attention mechanisms—0
An Empirical Investigation of Reconstruction-Based Models for Seizure Prediction from ECG Signals—0
mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixupCode1
Classification of ADHD and Healthy Children Using EEG Based Multi-Band Spatial Features Enhancement—0
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