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 1451–1475 of 1655 papers

TitleStatusHype
Sequential Best-Arm Identification with Application to Brain-Computer Interface—0
SFE-Net: EEG-based Emotion Recognition with Symmetrical Spatial Feature Extraction—0
Siamese Network with Dual Attention for EEG-Driven Social Learning: Bridging the Human-Robot Gap in Long-Tail Autonomous Driving—0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
Manifold Embedded Knowledge Transfer for Brain-Computer InterfacesCode0
Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep NetworksCode0
From Euclidean to Riemannian Means: Information Geometry for SSVEP ClassificationCode0
Manifold-regression to predict from MEG/EEG brain signals without source modelingCode0
Improving Clinician Performance in Classification of EEG Patterns on the Ictal-Interictal-Injury Continuum using Interpretable Machine LearningCode0
EEGsig: an open-source machine learning-based toolbox for EEG signal processingCode0
EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive NetworkCode0
A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure predictionCode0
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRICode0
mEBAL2 Database and Benchmark: Image-based Multispectral Eyeblink DetectionCode0
EEG4Students: An Experimental Design for EEG Data Collection and Machine Learning AnalysisCode0
Dynamical Embedding of Single Channel Electroencephalogram for Artifact Subspace ReconstructionCode0
Meet Spinky: An Open-Source Spindle and K-Complex Detection Toolbox Validated on the Open-Access Montreal Archive of Sleep Studies (MASS).Code0
Assessing gender fairness in EEG-based machine learning detection of Parkinson's disease: A multi-center studyCode0
Towards Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery FrameworkCode0
Feature Weighting and Regularization of Common Spatial Patterns in EEG-Based Motor Imagery BCICode0
gen2Out: Detecting and Ranking Generalized AnomaliesCode0
Generalized Concomitant Multi-Task Lasso for sparse multimodal regressionCode0
Recurrent Neural Networks for P300-based BCICode0
Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signalsCode0
On the challenges of detecting MCI using EEG in the wildCode0
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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