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 376400 of 1655 papers

TitleStatusHype
Are uGLAD? Time will tell!Code0
Optimized preprocessing and Tiny ML for Attention State Classification0
Relate auditory speech to EEG by shallow-deep attention-based network0
Picture-word interference in language production studies: Exploring the roles of attention and processing times0
Detecting post-stroke aphasia using EEG-based neural envelope tracking of natural speech0
Recovering Arrhythmic EEG Transients from Their Stochastic Interference0
Challenges facing the explainability of age prediction models: case study for two modalitiesCode0
Relating EEG recordings to speech using envelope tracking and the speech-FFR0
Assessing gender fairness in EEG-based machine learning detection of Parkinson's disease: A multi-center studyCode0
Scope and Arbitration in Machine Learning Clinical EEG ClassificationCode0
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG SignalsCode0
Depression Diagnosis and Drug Response Prediction via Recurrent Neural Networks and Transformers Utilizing EEG Signals0
Inter-brain substrates of role switching during mother-child interaction0
Scatter-based common spatial patterns -- a unified spatial filtering framework0
A topological classifier to characterize brain states: When shape matters more than variance0
Neural complexity -- Statistical-mechanical approach of human electroencephalograms0
Online functional connectivity analysis of large all-to-all networks0
One step closer to EEG based eye tracking0
Machine Learning-Based Detection of Parkinson's Disease From Resting-State EEG: A Multi-Center Study0
Tuning to non-veridical features in attention and perceptual decision-making0
Investigating the role of visual experience with face-masks in face recognition during COVID-190
Approximately optimal domain adaptation with Fisher's Linear Discriminant0
Comparison and Analysis of Cognitive Load under 2D/3D Visual Stimuli0
Electrode Clustering and Bandpass Analysis of EEG Data for Gaze Estimation0
Novel Epileptic Seizure Detection Techniques and their Empirical Analysis0
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Benchmark Results

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