SOTAVerified

Electroencephalogram (EEG)

Electroencephalogram (EEG) is a method of recording brain activity using electrophysiological indexes. When the brain is active, a large number of postsynaptic potentials generated synchronously by neurons are formed after summation. It records the changes of electric waves during brain activity and is the overall reflection of the electrophysiological activities of brain nerve cells on the surface of cerebral cortex or scalp. Brain waves originate from the postsynaptic potential of the apical dendrites of pyramidal cells. The formation of synchronous rhythm of EEG is also related to the activity of nonspecific projection system of cortex and thalamus. EEG is the basic theoretical research of brain science. EEG monitoring is widely used in its clinical application.

Papers

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Showing 651–700 of 1655 papers

TitleStatusHype
Anticipated synchronization in human EEG data: unidirectional causality with negative phase-lag—0
A large-scale evaluation framework for EEG deep learning architectures—0
A Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents—0
EEG-informed attended speaker extraction from recorded speech mixtures with application in neuro-steered hearing prostheses—0
EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms—0
Causal interpretation rules for encoding and decoding models in neuroimaging—0
A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection—0
A Knowledge-Driven Cross-view Contrastive Learning for EEG Representation—0
EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition—0
EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia—0
Carbogen inhalation during Non-Convulsive Status Epilepticus: A quantitative analysis of EEG recordings—0
EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding—0
EEG fingerprinting: subject specific signature based on the aperiodic component of power spectrum—0
Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance Estimation—0
EEG-GMACN: Interpretable EEG Graph Mutual Attention Convolutional Network—0
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals—0
A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition—0
EEG-Fest: Few-shot based Attention Network for Driver's Vigilance Estimation with EEG Signals—0
Canonical Polyadic Decomposition with Auxiliary Information for Brain Computer Interface—0
EEG in the classroom: Synchronised neural recordings during video presentation—0
EEG emotion recognition using dynamical graph convolutional neural networks—0
EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer—0
Can Musical Emotion Be Quantified With Neural Jitter Or Shimmer? A Novel EEG Based Study With Hindustani Classical Music—0
EEG machine learning with Higuchi fractal dimension and Sample Entropy as features for successful detection of depression—0
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification—0
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters—0
A novel spike-and-wave automatic detection in EEG signals—0
A Decomposition-Based Hybrid Ensemble CNN Framework for Driver Fatigue Recognition—0
EEG-NeXt: A Modernized ConvNet for The Classification of Cognitive Activity from EEG—0
EEG Opto-processor: epileptic seizure detection using diffractive photonic computing units—0
EEGPT: Unleashing the Potential of EEG Generalist Foundation Model by Autoregressive Pre-training—0
EEG Representation Using Multi-instance Framework on The Manifold of Symmetric Positive Definite Matrices for EEG-based Computer Aided Diagnosis—0
Calibration of off-the-shelf low-cost wearable EEG headset for application in field studies—0
EEG Cortical Source Feature based Hand Kinematics Decoding using Residual CNN-LSTM Neural Network—0
EEG Signal Classification using Variational Mode Decomposition—0
EEG Signal Dimensionality Reduction and Classification using Tensor Decomposition and Deep Convolutional Neural Networks—0
A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs—0
EEG-connectivity: A fundamental guide and checklist for optimal study design and evaluation—0
EEG classifier cross-task transfer to avoid training sessions in robot-assisted rehabilitation—0
EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships—0
EEG to fMRI Synthesis: Is Deep Learning a candidate?—0
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals—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
A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction—0
Effects of Images with Different Levels of Familiarity on EEG—0
EEG Classification based on Image Configuration in Social Anxiety Disorder—0
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance—0
Efficacy of Transformer Networks for Classification of Raw EEG Data—0
Brain waves are a repetition of a pause and an activity—0
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All datasetsSEED-IVHS-SSVEPSEED

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy74.35—Unverified
2DGCNNAccuracy69.88—Unverified
3DBNAccuracy66.77—Unverified
#ModelMetricClaimedVerifiedStatus
1MultitaskSSVEPAccuracy (5-fold)92.2—Unverified
#ModelMetricClaimedVerifiedStatus
1DBNAccuracy86.08—Unverified