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 15611570 of 1655 papers

TitleStatusHype
Multivariate Convolutional Sparse Coding for Electromagnetic Brain SignalsCode0
Deep Jansen-Rit Parameter Inference for Model-Driven Analysis of Brain ActivityCode0
RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised LearningCode0
Inherent fuzzy entropy for the improvement of EEG complexity evaluationCode0
Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modelingCode0
Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIsCode0
The Sylvester Graphical Lasso (SyGlasso)Code0
Predicting epileptic seizures using nonnegative matrix factorizationCode0
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary NoiseCode0
CogniVal: A Framework for Cognitive Word Embedding EvaluationCode0
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Benchmark Results

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