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 471480 of 1655 papers

TitleStatusHype
Investigating Brain Connectivity with Graph Neural Networks and GNNExplainerCode1
Classification at the Accuracy Limit -- Facing the Problem of Data Ambiguity0
Learning Generative Factors of EEG Data with Variational auto-encodersCode1
Functional Connectivity Methods for EEG-based Biometrics on a Large, Heterogeneous Dataset0
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEGCode1
MEMD-HHT based Emotion Detection from EEG using 3D CNN0
Multivariate Empirical Mode Decomposition of EEG for Mental State Detection at Localized Brain Lobes0
A Neural-Inspired Architecture for EEG-Based Auditory Attention Detection0
The Badalona Corpus - An Audio, Video and Neuro-Physiological Conversational Dataset0
Speech Artifact Removal from EEG Recordings of Spoken Word Production with Tensor Decomposition0
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Benchmark Results

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