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

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Showing 1026–1050 of 1655 papers

TitleStatusHype
Emotion self-regulation training in major depressive disorder using simultaneous real-time fMRI and EEG neurofeedback—0
Application of statistical analysis to working memory problem—0
An Evoked Potential-Guided Deep Learning Brain Representation For Visual Classification—0
Enriching Large-Scale Eventuality Knowledge Graph with Entailment RelationsCode0
Locked in Syndrome Machine Learning Classification using Sentence Comprehension EEG Data—0
Staging Epileptogenesis with Deep Neural Networks—0
Graph Convolutional Neural Networks for analysis of EEG signals, BCI applicationCode0
Neural mass modeling of slow-fast dynamics of seizure initiation and abortion—0
Classification and Recognition of Encrypted EEG Data Neural Network—0
ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification—0
Importance Weighting with a Adversarial Network for Large-Scale Sleep Staging—0
The eyes know it: FakeET -- An Eye-tracking Database to Understand Deepfake Perception—0
Towards Early Diagnosis of Epilepsy from EEG Data—0
Human brain activity for machine attention—0
EnK: Encoding time-information in convolutionCode0
Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models—0
Review of the State-of-the-art on Bio-signal-based Brain-controlled Vehicles—0
Epileptic seizure prediction using Pearson's product-moment correlation coefficient of a linear classifier from generalized Gaussian modeling—0
Constrained Variational Autoencoder for improving EEG based Speech Recognition Systems—0
Understanding effect of speech perception in EEG based speech recognition systems—0
Improving EEG based continuous speech recognition using GAN—0
Predicting Different Acoustic Features from EEG and towards direct synthesis of Audio Waveform from EEG—0
Monitoring fetal electroencephalogram intrapartum: a systematic literature review—0
An Effective Entropy-assisted Mind-wandering Detection System with EEG Signals based on MM-SART Database—0
Emotion-Inspired Deep Structure (EiDS) for EEG Time Series Forecasting—0
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All datasetsSEED-IVHS-SSVEPSEED

Benchmark Results

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