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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 271280 of 1655 papers

TitleStatusHype
Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface0
Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short reportCode1
Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning0
Interpretable Classification of Early Stage Parkinson's Disease from EEG0
Deep Learning for scalp High Frequency Oscillations Identification0
Self-Organization Towards 1/f Noise in Deep Neural NetworksCode0
Brain Model State Space Reconstruction Using an LSTM Neural Network0
Source-free Subject Adaptation for EEG-based Visual RecognitionCode2
Subject-Independent Brain-Computer Interfaces with Open-Set Subject Recognition0
Extracting continuous sleep depth from EEG data without machine learning0
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Benchmark Results

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