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 526–550 of 1655 papers

TitleStatusHype
A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG DataCode0
Convolutional Spiking Neural Networks for Detecting Anticipatory Brain Potentials Using Electroencephalogram—0
Machine Learning-based EEG Applications and Markets—0
Classifier Transfer with Data Selection Strategies for Online Support Vector Machine Classification with Class Imbalance—0
EEG Machine Learning for Analysis of Mild Traumatic Brain Injury: A survey—0
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding—0
Learning from imperfect training data using a robust loss function: application to brain image segmentationCode0
See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity—0
Granger Causality using Neural NetworksCode0
On the relation between EEG microstates and cross-spectra—0
Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signalsCode0
Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG—0
An intertwined neural network model for EEG classification in brain-computer interfaces—0
Neural Correlates of Face Familiarity Perception—0
Vector-Based Data Improves Left-Right Eye-Tracking Classifier Performance After a Covariate Distributional ShiftCode0
Six-center Assessment of CNN-Transformer with Belief Matching Loss for Patient-independent Seizure Detection in EEG—0
Significant changes in EEG neural oscillations during different phases of three-dimensional multiple object tracking task (3D-MOT) imply different roles for attention and working memory—0
A Hybrid Complex-valued Neural Network Framework with Applications to Electroencephalogram (EEG)—0
Time Majority Voting, a PC-based EEG Classifier for Non-expert UsersCode0
A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition—0
Continuous ErrP detections during multimodal human-robot interaction—0
LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero Shot Learning—0
Comment on "On the Extraction of Purely Motor EEG Neural Correlates during an Upper Limb Visuomotor Task"—0
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model MonitoringCode0
Correntropy-Based Logistic Regression with Automatic Relevance Determination for Robust Sparse Brain Activity Decoding—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