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 501510 of 1655 papers

TitleStatusHype
Changepoint Detection in Noisy Data Using a Novel Residuals Permutation-Based Method (RESPERM): Benchmarking and Application to Single Trial ERPsCode0
Multi-Tier Platform for Cognizing Massive Electroencephalogram0
Neuro-BERT: Rethinking Masked Autoencoding for Self-supervised Neurological PretrainingCode1
Unsupervised Motor Imagery Saliency Detection Based on Self-Attention Mechanism0
Energy-Efficient Tree-Based EEG Artifact Detection0
Is the Contralateral Delay Activity (CDA) a robust neural correlate for Visual Working Memory (VWM) tasks? A reproducibility study0
Benchmarking Domain Generalization on EEG-based Emotion Recognition0
An Adaptive Task-Related Component Analysis Method for SSVEP recognition0
Intracranial EEG structure-function coupling predicts surgical outcomes in focal epilepsy0
Exploiting Multiple EEG Data Domains with Adversarial LearningCode0
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Benchmark Results

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