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 501510 of 1655 papers

TitleStatusHype
A statistical method for analyzing and comparing spatiotemporal cortical activation patterns0
Deep Classification of Epileptic Signals0
Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks0
Constrained Variational Autoencoder for improving EEG based Speech Recognition Systems0
Deep Convolutional Neural Network for Automated Detection of Mind Wandering using EEG Signals0
Deep Convolutional Neural Networks for Interpretable Analysis of EEG Sleep Stage Scoring0
Deep convolutional recurrent neural network for short-interval EEG motor imagery classification0
Deep Correlation Analysis for Audio-EEG Decoding0
Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer Interface0
A state-space model of cross-region dynamic connectivity in MEG/EEG0
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Benchmark Results

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