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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 476–500 of 1655 papers

TitleStatusHype
Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features—0
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition—0
Decoding dynamic brain patterns from evoked responses: A tutorial on multivariate pattern analysis applied to time-series neuroimaging data—0
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing—0
Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience—0
Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment—0
Decoding finger flexion from band-specific ECoG signals in humans—0
A study of resting-state EEG biomarkers for depression recognition—0
Decoding Human Emotions: Analyzing Multi-Channel EEG Data using LSTM Networks—0
Decoding Imagined Speech using Wavelet Features and Deep Neural Networks—0
Decoding index finger position from EEG using random forests—0
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing—0
Advancing Speech Synthesis using EEG—0
A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery—0
Decoding of the Walking States and Step Rates from Cortical Electrocorticogram Signals—0
ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces—0
Continuous Speech Recognition using EEG and Video—0
A streamable large-scale clinical EEG dataset for Deep Learning—0
Continuous monitoring of cognitive load using advanced computerized analysis of brain signals during virtual simulator training for laparoscopic surgery, reflects laparoscopic dexterity. A comparative study using a novel wireless device—0
Continuous ErrP detections during multimodal human-robot interaction—0
Decoding Visual Recognition of Objects from EEG Signals based on Attention-Driven Convolutional Neural Network—0
Decoding Working Memory Load from EEG with LSTM Networks—0
Deep Architectures for Automated Seizure Detection in Scalp EEGs—0
A statistical method for analyzing and comparing spatiotemporal cortical activation patterns—0
Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks—0
Show:102550
← PrevPage 20 of 67Next →
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