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
Brain-Computer-Interface controlled robot via RaspberryPi and PiEEGCode2
Physics-inform attention temporal convolutional network for EEG-based motor imagery classificationCode2
Residual and bidirectional LSTM for epileptic seizure detectionCode2
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
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery SignalsCode2
MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based LearningCode2
PHemoNet: A Multimodal Network for Physiological SignalsCode2
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency ConsistencyCode2
Source-free Subject Adaptation for EEG-based Visual RecognitionCode2
Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signalsCode2
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEGCode2
Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual RecognitionCode2
Decoding speech perception from non-invasive brain recordingsCode2
EEG-Deformer: A Dense Convolutional Transformer for Brain-computer InterfacesCode2
EEGUnity: Open-Source Tool in Facilitating Unified EEG Datasets Towards Large-Scale EEG ModelCode2
Raspberry PI Shield - for measure EEG (PIEEG)Code2
Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG SignalsCode1
Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI dataCode1
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure AnalysisCode1
A Transformer-based deep neural network model for SSVEP classificationCode1
A few filters are enough: Convolutional Neural Network for P300 DetectionCode1
A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG DataCode1
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Benchmark Results

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