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 14811490 of 1655 papers

TitleStatusHype
Concept-based explainability for an EEG transformer modelCode0
MICAL: Mutual Information-Based CNN-Aided Learned FactorCode0
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signalCode0
Granger Causality using Neural NetworksCode0
Graph Convolutional Neural Networks for analysis of EEG signals, BCI applicationCode0
Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral FeaturesCode0
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage ClassificationCode0
Direct Estimation of Differential Functional Graphical ModelsCode0
On the effects of pseudorandom and quantum-random number generators in soft computingCode0
Characterising Alzheimer's Disease with EEG-based Energy Landscape AnalysisCode0
Show:102550
← PrevPage 149 of 166Next →

Benchmark Results

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