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EEG

Electroencephalography epilepsy

Papers

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Showing 951–1000 of 2431 papers

TitleStatusHype
BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks—0
EEG machine learning with Higuchi fractal dimension and Sample Entropy as features for successful detection of depression—0
Detecting and Tracking The Real-time Hot Topics: A Study on Computational Neuroscience—0
Design of BCCWJ-EEG: Balanced Corpus with Human Electroencephalography—0
Bayesian Topological Learning for Brain State Classification—0
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters—0
EEGMobile: Enhancing Speed and Accuracy in EEG-Based Gaze Prediction with Advanced Mobile Architectures—0
Designing Pre-training Datasets from Unlabeled Data for EEG Classification with Transformers—0
Design and Implementation of Butterworth, Chebyshev-I and Elliptic Filter for Speech Signal Analysis—0
Bayesian Nonparametric Models for Synchronous Brain-Computer Interfaces—0
Depression Diagnosis and Drug Response Prediction via Recurrent Neural Networks and Transformers Utilizing EEG Signals—0
EEG Opto-processor: epileptic seizure detection using diffractive photonic computing units—0
Depression Detection using Resting State Three-channel EEG Signal—0
Bayesian multi--dipole localization and uncertainty quantification from simultaneous EEG and MEG recordings—0
An Empirical Investigation of Reconstruction-Based Models for Seizure Prediction from ECG Signals—0
EEG Representation Using Multi-instance Framework on The Manifold of Symmetric Positive Definite Matrices for EEG-based Computer Aided Diagnosis—0
Denoising Time Series Data Using Asymmetric Generative Adversarial Networks—0
Demo: Multi-Modal Seizure Prediction System—0
EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks—0
EEG-SCMM: Soft Contrastive Masked Modeling for Cross-Corpus EEG-Based Emotion Recognition—0
EEGs disclose significant brain activity correlated with synaptic fickleness—0
Deep User Identification Model with Multiple Biometrics—0
EEG Signal Classification using Variational Mode Decomposition—0
EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis—0
EEG Signal Dimensionality Reduction and Classification using Tensor Decomposition and Deep Convolutional Neural Networks—0
EEG Signal Processing using Wavelets for Accurate Seizure Detection through Cost Sensitive Data Mining—0
Deep transfer learning for improving single-EEG arousal detection—0
EEG-SSM: Leveraging State-Space Model for Dementia Detection—0
EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation—0
Bayesian Model Parameter Learning in Linear Inverse Problems with Application in EEG Focal Source Imaging—0
Deep Transfer Learning for Error Decoding from Non-Invasive EEG—0
EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships—0
Deep Transfer Learning for EEG-based Brain Computer Interface—0
Bayesian fusion and multimodal DCM for EEG and fMRI—0
DeepSpeech models show Human-like Performance and Processing of Cochlear Implant Inputs—0
EENED: End-to-End Neural Epilepsy Detection based on Convolutional Transformer—0
Effective and Extensible Feature Extraction Method Using Genetic Algorithm-Based Frequency-Domain Feature Search for Epileptic EEG Multi-classification—0
Effective Correlates of Motor Imagery Performance based on Default Mode Network in Resting-State—0
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates—0
Bayesian Functional Connectivity and Graph Convolutional Network for Working Memory Load Classification—0
An embedding for EEG signals learned using a triplet loss—0
A framework for seizure detection using effective connectivity, graph theory and deep modular neural networks—0
Effects of Images with Different Levels of Familiarity on EEG—0
Effects of simultaneous real-time fMRI and EEG neurofeedback in major depressive disorder evaluated with brain electromagnetic tomography—0
Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease using EEG Data—0
Efficacy of Transformer Networks for Classification of Raw EEG Data—0
Deep Semantic Architecture with discriminative feature visualization for neuroimage analysis—0
Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity—0
Deep representation of EEG data from Spatio-Spectral Feature Images—0
Bayesian Belief Updating of Spatiotemporal Seizure Dynamics—0
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