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 926950 of 1655 papers

TitleStatusHype
The Temple University Hospital Seizure Detection Corpus0
TIME-LAPSE: Learning to say “I don't know” through spatio-temporal uncertainty scoring0
Time Series Forecasting Using Manifold Learning0
Time Series Segmentation through Automatic Feature Learning0
To jump or not to jump: The Bereitschaftspotential required to jump into 192-meter abyss0
Topological Analysis of Seizure-Induced Changes in Brain Hierarchy Through Effective Connectivity0
Topological biomarkers for real-time detection of epileptic seizures0
Topological EEG Nonlinear Dynamics Analysis for Emotion Recognition0
Towards a Passive BCI to Induce Lucid Dream0
Towards Asynchronous Motor Imagery-Based Brain-Computer Interfaces: a joint training scheme using deep learning0
Towards Best Practices for Leveraging Human Language Processing Signals for Natural Language Processing0
Towards Brain-Computer Interfaces for Drone Swarm Control0
Toward Scalable Access to Neurodevelopmental Screening: Insights, Implementation, and Challenges0
Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels0
Towards Deep Modeling of Music Semantics using EEG Regularizers0
Towards Early Diagnosis of Epilepsy from EEG Data0
Towards EEG signals codification using contrastiveloss0
Towards emotion recognition for virtual environments: an evaluation of EEG features on benchmark dataset0
Towards Linguistic Neural Representation Learning and Sentence Retrieval from Electroencephalogram Recordings0
Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices0
Continuous Silent Speech Recognition using EEG0
Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks0
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey0
Towards physiology-informed data augmentation for EEG-based BCIs0
Towards Privacy-Preserving Neural Architecture Search0
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Benchmark Results

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