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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 1655 papers

TitleStatusHype
Enhancing Low-Density EEG-Based Brain-Computer Interfaces with Similarity-Keeping Knowledge DistillationCode1
Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative TrainingCode1
EEG aided boosting of single-lead ECG based sleep staging with Deep Knowledge DistillationCode1
A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG DataCode1
Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency AnalysisCode1
fMRI from EEG is only Deep Learning away: the use of interpretable DL to unravel EEG-fMRI relationshipsCode1
Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive EvaluationCode1
A Transformer-based deep neural network model for SSVEP classificationCode1
MAtt: A Manifold Attention Network for EEG DecodingCode1
Cross Task Neural Architecture Search for EEG Signal ClassificationsCode1
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution ShiftsCode1
SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive LearningCode1
clusterBMA: Bayesian model averaging for clusteringCode1
Transfer Learning of an Ensemble of DNNs for SSVEP BCI Spellers without User-Specific TrainingCode1
Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access SystemCode1
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure AnalysisCode1
Seeing your sleep stage: cross-modal distillation from EEG to infrared videoCode1
Can Brain Signals Reveal Inner Alignment with Human Languages?Code1
EEG2Mel: Reconstructing Sound from Brain Responses to MusicCode1
Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeXCode1
Self-supervised Group Meiosis Contrastive Learning for EEG-Based Emotion RecognitionCode1
Dreamento: an open-source dream engineering toolbox for sleep EEG wearablesCode1
Task-oriented Self-supervised Learning for Anomaly Detection in ElectroencephalographyCode1
Data augmentation for learning predictive models on EEG: a systematic comparisonCode1
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural NetworksCode1
Show:102550
← PrevPage 3 of 67Next →
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