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

Showing 7180 of 1655 papers

TitleStatusHype
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
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking ApplicationsCode1
Motiflets -- Simple and Accurate Detection of Motifs in Time SeriesCode1
Learning Generative Factors of EEG Data with Variational auto-encodersCode1
Investigating Brain Connectivity with Graph Neural Networks and GNNExplainerCode1
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEGCode1
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Benchmark Results

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