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 1–50 of 1655 papers

TitleStatusHype
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCICode4
Source-free Subject Adaptation for EEG-based Visual RecognitionCode2
LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease DetectionCode2
MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based LearningCode2
EEG-Deformer: A Dense Convolutional Transformer for Brain-computer InterfacesCode2
Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signalsCode2
Residual and bidirectional LSTM for epileptic seizure detectionCode2
Raspberry PI Shield - for measure EEG (PIEEG)Code2
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency ConsistencyCode2
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG SignalsCode2
DreamDiffusion: Generating High-Quality Images from Brain EEG SignalsCode2
Decoding speech perception from non-invasive brain recordingsCode2
Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual RecognitionCode2
PHemoNet: A Multimodal Network for Physiological SignalsCode2
EEGUnity: Open-Source Tool in Facilitating Unified EEG Datasets Towards Large-Scale EEG ModelCode2
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery SignalsCode2
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEGCode2
Physics-inform attention temporal convolutional network for EEG-based motor imagery classificationCode2
Brain-Computer-Interface controlled robot via RaspberryPi and PiEEGCode2
Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short reportCode1
Deep learning with convolutional neural networks for EEG decoding and visualizationCode1
Disguising Personal Identity Information in EEG SignalsCode1
Data augmentation for learning predictive models on EEG: a systematic comparisonCode1
Decoding Human Attentive States from Spatial-temporal EEG Patches Using TransformersCode1
Correct block-design experiments mitigate temporal correlation bias in EEG classificationCode1
Decoding Covert Speech from EEG Using a Functional Areas Spatio-Temporal TransformerCode1
CognitionCapturer: Decoding Visual Stimuli From Human EEG Signal With Multimodal InformationCode1
Deep comparisons of Neural Networks from the EEGNet familyCode1
Deep Multi-Task Learning for SSVEP Detection and Visual Response MappingCode1
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEGCode1
Cross Task Neural Architecture Search for EEG Signal ClassificationsCode1
Decoding Natural Images from EEG for Object RecognitionCode1
Domain-Invariant Representation Learning from EEG with Private EncodersCode1
Causal Recurrent Variational Autoencoder for Medical Time Series GenerationCode1
Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access SystemCode1
Classification of Hand-Grasp Movements of Stroke Patients using EEG DataCode1
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEGCode1
Automatic detection of microsleep episodes with deep learningCode1
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data SetsCode1
BEATS: An Open-Source, High-Precision, Multi-Channel EEG Acquisition Tool SystemCode1
EEG-based Emotional Video Classification via Learning Connectivity StructureCode1
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG dataCode1
A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep stagingCode1
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking ApplicationsCode1
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time seriesCode1
CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality DetectionCode1
A Deep Neural Network for SSVEP-based Brain-Computer InterfacesCode1
Spatiotemporal patterns of adaptation-induced slow oscillations in a whole-brain model of slow-wave sleepCode1
ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease AssessmentCode1
Closed loop BCI System for Cybathlon 2020Code1
Show:102550
← PrevPage 1 of 34Next →
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