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 351360 of 1655 papers

TitleStatusHype
Context tree selection for functional dataCode0
Comparative evaluation of state-of-the-art algorithms for SSVEP-based BCIsCode0
Signal2Image Modules in Deep Neural Networks for EEG ClassificationCode0
Complex common spatial patterns on time-frequency decomposed EEG for brain-computer interfaceCode0
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG SignalsCode0
Classification of BCI-EEG based on augmented covariance matrixCode0
Cogni-Net: Cognitive Feature Learning through Deep Visual PerceptionCode0
Meet Spinky: An Open-Source Spindle and K-Complex Detection Toolbox Validated on the Open-Access Montreal Archive of Sleep Studies (MASS).Code0
CogBERT: Cognition-Guided Pre-trained Language ModelsCode0
CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing SignalsCode0
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Benchmark Results

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