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EEG

Electroencephalography epilepsy

Papers

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Showing 1651–1700 of 2431 papers

TitleStatusHype
Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression ModelsCode0
Linking Attention-Based Multiscale CNN With Dynamical GCN for Driving Fatigue Detection—0
Towards Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery FrameworkCode0
Interpreting Deep Learning Models for Epileptic Seizure Detection on EEG signals—0
Is the brain macroscopically linear? A system identification of resting state dynamicsCode0
Improving J-divergence of brain connectivity states by graph Laplacian denoising—0
Resting-state EEG sex classification using selected brain connectivity representation—0
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree—0
Fluctuations in EEG band power at subject-specific timescales over minutes to days explain changes in seizure evolutions—0
Light-Weight 1-D Convolutional Neural Network Architecture for Mental Task Identification and Classification Based on Single-Channel EEG—0
Improving EEG Decoding via Clustering-based Multi-task Feature Learning—0
Quantifying Synchronization in a Biologically Inspired Neural Network—0
Automatic Micro-sleep Detection under Car-driving Simulation Environment using Night-sleep EEG—0
Predicting the Transition from Short-term to Long-term Memory based on Deep Neural Network—0
Cross-Correlation Based Discriminant Criterion for Channel Selection in Motor Imagery BCI Systems—0
Comparison of Attention-based Deep Learning Models for EEG Classification—0
Edge Deep Learning for Neural Implants—0
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction—0
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso—0
Spatiotemporal patterns of adaptation-induced slow oscillations in a whole-brain model of slow-wave sleepCode1
Anchored-STFT and GNAA: An extension of STFT in conjunction with an adversarial data augmentation technique for the decoding of neural signals—0
Correct block-design experiments mitigate temporal correlation bias in EEG classificationCode1
Conditional canonical correlation estimation based on covariates with random forestsCode0
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period—0
Patient-independent Epileptic Seizure Prediction using Deep Learning Models—0
EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural NetworkCode1
A Deep Neural Network for SSVEP-based Brain-Computer InterfacesCode1
Patient-Specific Seizure Prediction Using Single Seizure Electroencephalography Recording—0
Deep learning-based classification of fine hand movements from low frequency EEG—0
REPAC: Reliable estimation of phase-amplitude coupling in brain networks—0
Overlapping neural representations for the position of visible and imagined objects—0
Real-time noise cancellation with Deep LearningCode1
Correlation based Multi-phasal models for improved imagined speech EEG recognition—0
The electronic board to replace the reference voltage on the earlobe for EEG measurement—0
BCGGAN: Ballistocardiogram artifact removal in simultaneous EEG-fMRI using generative adversarial network—0
Review of Neural Networks in the EEG Signal Recognition—0
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks—0
Multiscale Fractal Analysis on EEG Signals for Music-Induced Emotion Recognition—0
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG—0
Hybrid Backpropagation Parallel Reservoir Networks—0
BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks—0
Dyslexia detection from EEG signals using SSA component correlation and Convolutional Neural Networks—0
A Hierarchical Graph Signal Processing Approach to Inference from Spatiotemporal Signals—0
Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder-Decoder Network—0
EEGsig: an open-source machine learning-based toolbox for EEG signal processingCode0
A novel convolutional neural network model to remove muscle artifacts from EEG—0
Effects of simultaneous real-time fMRI and EEG neurofeedback in major depressive disorder evaluated with brain electromagnetic tomography—0
Learning from Heterogeneous EEG Signals with Differentiable Channel Reordering—0
Continuous monitoring of cognitive load using advanced computerized analysis of brain signals during virtual simulator training for laparoscopic surgery, reflects laparoscopic dexterity. A comparative study using a novel wireless device—0
Disguising Personal Identity Information in EEG SignalsCode1
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