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 125 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
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Benchmark Results

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