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 10011010 of 1655 papers

TitleStatusHype
Enriching Large-Scale Eventuality Knowledge Graph with Entailment RelationsCode0
Locked in Syndrome Machine Learning Classification using Sentence Comprehension EEG Data0
Staging Epileptogenesis with Deep Neural Networks0
Graph Convolutional Neural Networks for analysis of EEG signals, BCI applicationCode0
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery SignalsCode2
Neural mass modeling of slow-fast dynamics of seizure initiation and abortion0
Classification and Recognition of Encrypted EEG Data Neural Network0
ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification0
Importance Weighting with a Adversarial Network for Large-Scale Sleep Staging0
The eyes know it: FakeET -- An Eye-tracking Database to Understand Deepfake Perception0
Show:102550
← PrevPage 101 of 166Next →

Benchmark Results

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