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 15811590 of 1655 papers

TitleStatusHype
Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers0
Decoding index finger position from EEG using random forests0
MERLiN: Mixture Effect Recovery in Linear NetworksCode0
Learning Representations from EEG with Deep Recurrent-Convolutional Neural NetworksCode0
Causal interpretation rules for encoding and decoding models in neuroimaging0
Deep Feature Learning for EEG RecordingsCode0
Granger Causality in Multi-variate Time Series using a Time Ordered Restricted Vector Autoregressive Model0
The intrinsic value of HFO features as a biomarker of epileptic activity0
Sparsity-based Correction of Exponential Artifacts0
Spatio-temporal Spike and Slab Priors for Multiple Measurement Vector Problems0
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Benchmark Results

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