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 961970 of 1655 papers

TitleStatusHype
Transfer entropy applied on EEG in depression reveals aberrated dynamics0
Transfer Learning and SpecAugment applied to SSVEP Based BCI Classification0
Transfer Learning Enhanced Common Spatial Pattern Filtering for Brain Computer Interfaces (BCIs): Overview and a New Approach0
Transfer Learning for Covert Speech Classification Using EEG Hilbert Envelope and Temporal Fine Structure0
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 20160
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders0
Transferring Subspaces Between Subjects in Brain-Computer Interfacing0
Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG0
Translating Mental Imaginations into Characters with Codebooks and Dynamics-Enhanced Decoding0
Transmodal Analysis of Neural Signals0
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Benchmark Results

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