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 1576–1600 of 1655 papers

TitleStatusHype
“Eyes Open – Eyes Closed” EEG/fMRI data set including dedicated “Carbon Wire Loop” motion detection channels—0
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models—0
Identifying Stable Patterns over Time for Emotion Recognition from EEG—0
Nonparametric Modeling of Dynamic Functional Connectivity in fMRI DataCode0
Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network Construction—0
Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers—0
Decoding index finger position from EEG using random forests—0
MERLiN: Mixture Effect Recovery in Linear NetworksCode0
Learning Representations from EEG with Deep Recurrent-Convolutional Neural NetworksCode0
Causal interpretation rules for encoding and decoding models in neuroimaging—0
Deep Feature Learning for EEG RecordingsCode0
Granger Causality in Multi-variate Time Series using a Time Ordered Restricted Vector Autoregressive Model—0
The intrinsic value of HFO features as a biomarker of epileptic activity—0
Sparsity-based Correction of Exponential Artifacts—0
Spatio-temporal Spike and Slab Priors for Multiple Measurement Vector Problems—0
Images from the Mind: BCI image evolution based on Rapid Serial Visual Presentation of polygon primitives—0
Anomaly Detection and Removal Using Non-Stationary Gaussian Processes—0
Compressed Sensing of Multi-Channel EEG Signals: The Simultaneous Cosparsity and Low Rank Optimization—0
Detecting single-trial EEG evoked potential using a wavelet domain linear mixed model: application to error potentials classification—0
Tensor Analysis and Fusion of Multimodal Brain Images—0
Head-related Impulse Response Cues for Spatial Auditory Brain-computer Interface—0
Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks—0
Exploring EEG for Object Detection and Retrieval—0
Two-step Input Spatial Auditory BCI for Japanese Kana Characters—0
Supervised LogEuclidean Metric Learning for Symmetric Positive Definite Matrices—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