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EEG

Electroencephalography epilepsy

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Showing 326–350 of 2431 papers

TitleStatusHype
Personalized Continual EEG Decoding: Retaining and Transferring Knowledge—0
User-wise Perturbations for User Identity Protection in EEG-Based BCIs—0
Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIsCode0
Federated GNNs for EEG-Based Stroke Assessment—0
Are EEG functional networks really describing the brain? A comparison with other information-processing complex systems—0
BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging—0
Enhancing Neural Network Interpretability with Feature-Aligned Sparse AutoencodersCode0
Neural decoding from stereotactic EEG: accounting for electrode variability across subjects—0
Demo: Multi-Modal Seizure Prediction System—0
Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model—0
Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals—0
Low-Rank + Sparse Decomposition (LR+SD) for EEG Artifact Removal—0
Neurophysiological Analysis in Motor and Sensory Cortices for Improving Motor Imagination—0
Enhancing Brain Source Reconstruction through Physics-Informed 3D Neural Networks—0
Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-Based Motor Learning—0
Decoding Fatigue Levels of Pilots Using EEG Signals with Hybrid Deep Neural Networks—0
SleepNetZero: Zero-Burden Zero-Shot Reliable Sleep Staging With Neural Networks Based on Ballistocardiograms—0
EEG-based Multimodal Representation Learning for Emotion Recognition—0
osl-ephys: A Python toolbox for the analysis of electrophysiology data—0
Can EEG resting state data benefit data-driven approaches for motor-imagery decoding?—0
NeuGPT: Unified multi-modal Neural GPTCode1
BSD: a Bayesian framework for parametric models of neural spectraCode2
EEG-Driven 3D Object Reconstruction with Style Consistency and Diffusion Prior—0
SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG—0
A Multi-Modal Non-Invasive Deep Learning Framework for Progressive Prediction of Seizures—0
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