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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 14611470 of 1655 papers

TitleStatusHype
The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks0
Neurology-as-a-Service for the Developing World0
An EEG-based Image Annotation System0
Occipital and left temporal EEG correlates of phenomenal consciousness0
Deep Transfer Learning for Error Decoding from Non-Invasive EEG0
Effects of Images with Different Levels of Familiarity on EEG0
Deep Convolutional Neural Networks for Interpretable Analysis of EEG Sleep Stage Scoring0
Unidirectional brain to muscle connectivity reveals motor cortex control of leg muscles during stereotyped walking0
Generative Adversarial Networks Conditioned by Brain Signals0
Accounting for the Complex Hierarchical Topology of EEG Phase-Based Functional Connectivity in Network Binarisation0
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Benchmark Results

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