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 15511575 of 1655 papers

TitleStatusHype
Adversarial Filtering Based Evasion and Backdoor Attacks to EEG-Based Brain-Computer InterfacesCode0
Multiscale Granger causality analysis by à trous wavelet transformCode0
Cross-validation in high-dimensional spaces: a lifeline for least-squares models and multi-class LDACode0
Coupled Support Tensor Machine Classification for Multimodal Neuroimaging DataCode0
Active Learning for Regression Using Greedy SamplingCode0
Challenges facing the explainability of age prediction models: case study for two modalitiesCode0
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked PotentialsCode0
Deep Learning Human Mind for Automated Visual ClassificationCode0
A deep learning architecture to detect events in EEG signals during sleepCode0
Sparse and Functional Principal Components AnalysisCode0
Multivariate Convolutional Sparse Coding for Electromagnetic Brain SignalsCode0
Deep Jansen-Rit Parameter Inference for Model-Driven Analysis of Brain ActivityCode0
RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised LearningCode0
Inherent fuzzy entropy for the improvement of EEG complexity evaluationCode0
Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modelingCode0
Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIsCode0
The Sylvester Graphical Lasso (SyGlasso)Code0
Predicting epileptic seizures using nonnegative matrix factorizationCode0
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary NoiseCode0
CogniVal: A Framework for Cognitive Word Embedding EvaluationCode0
Vector-Based Data Improves Left-Right Eye-Tracking Classifier Performance After a Covariate Distributional ShiftCode0
Subspace metrics for multivariate dictionaries and application to EEGCode0
Deep learning-based electroencephalography analysis: a systematic reviewCode0
Cerebral Signal Instantaneous Parameters Estimation MATLAB Toolbox - User Guide Version 2.3Code0
Neonatal EEG graded for severity of background abnormalities in hypoxic-ischaemic encephalopathyCode0
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Benchmark Results

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