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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 291300 of 1655 papers

TitleStatusHype
Direct Estimation of Differential Functional Graphical ModelsCode0
Deep Riemannian Networks for End-to-End EEG DecodingCode0
Detection of REM Sleep Behaviour Disorder by Automated Polysomnography AnalysisCode0
Deep learning with convolutional neural networks for decoding and visualization of EEG pathologyCode0
Deep learning-based electroencephalography analysis: a systematic reviewCode0
Deep Learning Human Mind for Automated Visual ClassificationCode0
Deep Optimal Transport for Domain Adaptation on SPD ManifoldsCode0
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signalCode0
Decoding kinetic features of hand motor preparation from single‐trial EEG using convolutional neural networksCode0
Decoding P300 Variability using Convolutional Neural NetworksCode0
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Benchmark Results

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