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 531540 of 1655 papers

TitleStatusHype
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding0
Learning from imperfect training data using a robust loss function: application to brain image segmentationCode0
Granger Causality using Neural NetworksCode0
See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity0
Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signalsCode0
Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG0
An intertwined neural network model for EEG classification in brain-computer interfaces0
On the relation between EEG microstates and cross-spectra0
Vector-Based Data Improves Left-Right Eye-Tracking Classifier Performance After a Covariate Distributional ShiftCode0
Neural Correlates of Face Familiarity Perception0
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Benchmark Results

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