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EEG

Electroencephalography epilepsy

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Showing 301–350 of 2431 papers

TitleStatusHype
EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis—0
Energy-based features and bi-LSTM neural network for EEG-based music and voice classification—0
Hybrid Quantum Deep Learning Model for Emotion Detection using raw EEG Signal Analysis—0
Bi-LSTM neural network for EEG-based error detection in musicians' performance—0
Enhanced Cross-Dataset Electroencephalogram-based Emotion Recognition using Unsupervised Domain AdaptationCode0
Hierarchical Trait-State Model for Decoding Dyadic Social Interactions—0
Neuro-3D: Towards 3D Visual Decoding from EEG Signals—0
Preprocessing for lessening the influence of eye artifacts in eeg analysis—0
Uncovering the role of semantic and acoustic cues in normal and dichotic listening—0
Towards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms—0
PFML: Self-Supervised Learning of Time-Series Data Without Representation CollapseCode0
A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report GenerationCode0
Towards Neural Foundation Models for Vision: Aligning EEG, MEG, and fMRI Representations for Decoding, Encoding, and Modality Conversion—0
EEG-Based Speech Decoding: A Novel Approach Using Multi-Kernel Ensemble Diffusion Models—0
Towards Unified Neural Decoding of Perceived, Spoken and Imagined Speech from EEG Signals—0
Towards Scalable Handwriting Communication via EEG Decoding and Latent Embedding Integration—0
Imagined Speech and Visual Imagery as Intuitive Paradigms for Brain-Computer Interfaces—0
Quantity versus Diversity: Influence of Data on Detecting EEG Pathology with Advanced ML Models—0
SAD-TIME: a Spatiotemporal-fused network for depression detection with Automated multi-scale Depth-wise and TIME-interval-related common feature extractor—0
EEG-DCNet: A Fast and Accurate MI-EEG Dilated CNN Classification MethodCode0
Multi-class Decoding of Attended Speaker Direction Using Electroencephalogram and Audio Spatial Spectrum—0
Evaluating tDCS Intervention Effectiveness via Functional Connectivity Network on Resting-State EEG Data in Major Depressive Disorder—0
FLEXtime: Filterbank learning to explain time seriesCode0
How Much Data is Enough? Optimization of Data Collection for Artifact Detection in EEG Recordings—0
Elliptical Wishart distributions: information geometry, maximum likelihood estimator, performance analysis and statistical learningCode0
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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