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 901–950 of 1655 papers

TitleStatusHype
Temporal EigenPAC for dyslexia diagnosis—0
Temporal-spatial Representation Learning Transformer for EEG-based Emotion Recognition—0
Temporal stability of intracranial EEG abnormality maps for localising epileptogenic tissue—0
Tensor Analysis and Fusion of Multimodal Brain Images—0
Tensor-Based Fusion of EEG and FMRI to Understand Neurological Changes in Schizophrenia—0
Tensor Decomposition for EEG Signal Retrieval—0
Testing Hypotheses by Regularized Maximum Mean Discrepancy—0
The Alice Datasets: fMRI \& EEG Observations of Natural Language Comprehension—0
The Badalona Corpus - An Audio, Video and Neuro-Physiological Conversational Dataset—0
Comparison and Analysis of Cognitive Load under 2D/3D Visual Stimuli—0
The Dreem Headband as an Alternative to Polysomnography for EEG Signal Acquisition and Sleep Staging—0
Does Double Biofeedback Affect Functional Hemispheric Asymmetry and Activity? A Pilot Study—0
The electronic board to replace the reference voltage on the earlobe for EEG measurement—0
The evolution of AI approaches for motor imagery EEG-based BCIs—0
The eyes know it: FakeET -- An Eye-tracking Database to Understand Deepfake Perception—0
The interplay between long- and short-range temporal correlations shapes cortex dynamics across vigilance states—0
The intrinsic value of HFO features as a biomarker of epileptic activity—0
The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG source reconstruction—0
The Language of Brain Signals: Natural Language Processing of Electroencephalography Reports—0
The Little Prince in 26 Languages: Towards a Multilingual Neuro-Cognitive Corpus—0
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence—0
The role of physiological complexity changes in resting-state EEG in clinical effectiveness of rTMS and tDCS in treatments of resistant depression—0
The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks—0
The "Sound of Silence" in EEG -- Cognitive voice activity detection—0
The Spatial Selective Auditory Attention of Cochlear Implant Users in Different Conversational Sound Levels—0
The Temple University Hospital Seizure Detection Corpus—0
TIME-LAPSE: Learning to say “I don't know” through spatio-temporal uncertainty scoring—0
Time Series Forecasting Using Manifold Learning—0
Time Series Segmentation through Automatic Feature Learning—0
To jump or not to jump: The Bereitschaftspotential required to jump into 192-meter abyss—0
Topological Analysis of Seizure-Induced Changes in Brain Hierarchy Through Effective Connectivity—0
Topological biomarkers for real-time detection of epileptic seizures—0
Topological EEG Nonlinear Dynamics Analysis for Emotion Recognition—0
Towards a Passive BCI to Induce Lucid Dream—0
Towards Asynchronous Motor Imagery-Based Brain-Computer Interfaces: a joint training scheme using deep learning—0
Towards Best Practices for Leveraging Human Language Processing Signals for Natural Language Processing—0
Towards Brain-Computer Interfaces for Drone Swarm Control—0
Toward Scalable Access to Neurodevelopmental Screening: Insights, Implementation, and Challenges—0
Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels—0
Towards Deep Modeling of Music Semantics using EEG Regularizers—0
Towards Early Diagnosis of Epilepsy from EEG Data—0
Towards EEG signals codification using contrastiveloss—0
Towards emotion recognition for virtual environments: an evaluation of EEG features on benchmark dataset—0
Towards Linguistic Neural Representation Learning and Sentence Retrieval from Electroencephalogram Recordings—0
Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices—0
Continuous Silent Speech Recognition using EEG—0
Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks—0
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey—0
Towards physiology-informed data augmentation for EEG-based BCIs—0
Towards Privacy-Preserving Neural Architecture Search—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