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 651–675 of 1655 papers

TitleStatusHype
Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain AdaptationCode0
Wavelet-Based Multi-Class Seizure Type Classification System—0
Low Latency Real-Time Seizure Detection Using Transfer Deep Learning—0
Significant Low-dimensional Spectral-temporal Features for Seizure Detection—0
Grasp-and-Lift Detection from EEG Signal Using Convolutional Neural Network—0
Spectrally Adaptive Common Spatial Patterns—0
Dimensional criterion for forecasting nonlinear systems by reservoir computing—0
Efficacy of Transformer Networks for Classification of Raw EEG Data—0
AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aestheticsCode0
An Olfactory EEG Signal Classification Network Based on Frequency Band Feature Extraction—0
Spectro Temporal EEG Biomarkers For Binary Emotion Classification—0
Brain Source Localization by Alternating Projection—0
Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition—0
Image-based eeg classification of brain responses to song recordingsCode0
Sparse algorithms for EEG source localization—0
Automated Feature Extraction on AsMap for Emotion Classification using EEG—0
Chronic iEEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states—0
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure DetectionCode0
Enhanced motor imagery-based EEG classification using a discriminative graph Fourier subspace—0
Inferring Brain Dynamics via Multimodal Joint Graph Representation EEG-fMRI—0
Coupled Support Tensor Machine Classification for Multimodal Neuroimaging DataCode0
Deep Optimal Transport for Domain Adaptation on SPD ManifoldsCode0
Where Is My Mind (looking at)? Predicting Visual Attention from Brain Activity—0
Application of Common Spatial Patterns in Gravitational Waves Detection—0
EEG Based Emotion Sensing using convolutional neural networks—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