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 1–50 of 1655 papers

TitleStatusHype
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCICode4
LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease DetectionCode2
EEGUnity: Open-Source Tool in Facilitating Unified EEG Datasets Towards Large-Scale EEG ModelCode2
PHemoNet: A Multimodal Network for Physiological SignalsCode2
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG SignalsCode2
MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based LearningCode2
Residual and bidirectional LSTM for epileptic seizure detectionCode2
EEG-Deformer: A Dense Convolutional Transformer for Brain-computer InterfacesCode2
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEGCode2
DreamDiffusion: Generating High-Quality Images from Brain EEG SignalsCode2
Source-free Subject Adaptation for EEG-based Visual RecognitionCode2
Decoding speech perception from non-invasive brain recordingsCode2
Physics-inform attention temporal convolutional network for EEG-based motor imagery classificationCode2
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency ConsistencyCode2
Raspberry PI Shield - for measure EEG (PIEEG)Code2
Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual RecognitionCode2
Brain-Computer-Interface controlled robot via RaspberryPi and PiEEGCode2
Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signalsCode2
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery SignalsCode2
NeuroXAI: Adaptive, robust, explainable surrogate framework for determination of channel importance in EEG applicationCode1
Decoding Covert Speech from EEG Using a Functional Areas Spatio-Temporal TransformerCode1
EEG-CLIP : Learning EEG representations from natural language descriptionsCode1
Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG ClassificationCode1
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning FrameworkCode1
The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEGCode1
Decoding Human Attentive States from Spatial-temporal EEG Patches Using TransformersCode1
Milmer: a Framework for Multiple Instance Learning based Multimodal Emotion RecognitionCode1
Neural-MCRL: Neural Multimodal Contrastive Representation Learning for EEG-based Visual DecodingCode1
CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality DetectionCode1
CognitionCapturer: Decoding Visual Stimuli From Human EEG Signal With Multimodal InformationCode1
T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIsCode1
ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease AssessmentCode1
Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion ModelsCode1
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature ReuseCode1
Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological SignalsCode1
Artificial Intelligence for EEG Prediction: Applied Chaos TheoryCode1
MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion RecognitionCode1
Decoding Natural Images from EEG for Object RecognitionCode1
ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG DataCode1
Towards Domain Generalization for ECG and EEG Classification: Algorithms and BenchmarksCode1
EEG Synthetic Data Generation Using Probabilistic Diffusion ModelsCode1
Partial Label Learning for Emotion Recognition from EEGCode1
Score-Based Data Generation for EEG Spatial Covariance Matrices: Towards Boosting BCI PerformanceCode1
Deep comparisons of Neural Networks from the EEGNet familyCode1
Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short reportCode1
Causal Recurrent Variational Autoencoder for Medical Time Series GenerationCode1
L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep StagingCode1
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEGCode1
Towards Voice Reconstruction from EEG during Imagined SpeechCode1
Closed loop BCI System for Cybathlon 2020Code1
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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