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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 10311040 of 1655 papers

TitleStatusHype
Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI0
Reconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface0
Predicting Video features from EEG and Vice versa0
Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks0
Epileptic Seizure Forecasting: Probabilistic seizure-risk assessment and data-fusion0
RED: Deep Recurrent Neural Networks for Sleep EEG Event DetectionCode1
Assessment of Unconsciousness for Memory Consolidation Using EEG Signals0
Identifying trace alternant activity in neonatal EEG using an inter-burst detection approach0
Grading the severity of hypoxic-ischemic encephalopathy in newborn EEG using a convolutional neural network0
Early soft and flexible fusion of EEG and fMRI via tensor decompositions0
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Benchmark Results

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