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 911920 of 1655 papers

TitleStatusHype
Review of Neural Networks in the EEG Signal Recognition0
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks0
Multiscale Fractal Analysis on EEG Signals for Music-Induced Emotion Recognition0
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG0
Hybrid Backpropagation Parallel Reservoir Networks0
BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks0
Dyslexia detection from EEG signals using SSA component correlation and Convolutional Neural Networks0
A Hierarchical Graph Signal Processing Approach to Inference from Spatiotemporal Signals0
EEGsig: an open-source machine learning-based toolbox for EEG signal processingCode0
Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder-Decoder Network0
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Benchmark Results

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