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EEG

Electroencephalography epilepsy

Papers

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Showing 476–500 of 2431 papers

TitleStatusHype
Attention-Based CNN-BiLSTM for Sleep State Classification of Spatiotemporal Wide-Field Calcium Imaging DataCode0
EEG-DCNet: A Fast and Accurate MI-EEG Dilated CNN Classification MethodCode0
Recurrent Neural Networks for P300-based BCICode0
EEG-based Decoding of Selective Visual Attention in Superimposed VideosCode0
A Temporal-Spectral Fusion Transformer with Subject-Specific Adapter for Enhancing RSVP-BCI DecodingCode0
EEG4Students: An Experimental Design for EEG Data Collection and Machine Learning AnalysisCode0
Dynamical Embedding of Single Channel Electroencephalogram for Artifact Subspace ReconstructionCode0
Dual mechanism of Anti-Seizure Medications in controlling seizure activityCode0
Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep StagingCode0
RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised LearningCode0
Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modelingCode0
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable CouplingsCode0
Advancing NLP with Cognitive Language Processing SignalsCode0
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signalCode0
Screening for REM Sleep Behaviour Disorder with Minimal SensorsCode0
Detection of tonic-clonic seizures in children with epilepsyCode0
Detection of REM Sleep Behaviour Disorder by Automated Polysomnography AnalysisCode0
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological DiagnosticsCode0
Deep learning with convolutional neural networks for decoding and visualization of EEG pathologyCode0
A Statistical Approach for Synthetic EEG Data GenerationCode0
Advancing EEG-Based Gaze Prediction Using Depthwise Separable Convolution and Enhanced Pre-ProcessingCode0
Deep Learning Human Mind for Automated Visual ClassificationCode0
Deep Riemannian Networks for End-to-End EEG DecodingCode0
Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic DischargesCode0
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRICode0
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