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 14711480 of 1655 papers

TitleStatusHype
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
Mental Task Classification Using Electroencephalogram SignalCode0
Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative ModelsCode0
MERLiN: Mixture Effect Recovery in Linear NetworksCode0
Metrics for Multivariate DictionariesCode0
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer InterfacesCode0
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Benchmark Results

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