https://github.com/cecnl/ssvep-dan
공식 코드IncepFormerNet: A multi-scale multi-head attention network for SSVEP classification
Papers with Code 아카이브
Electroencephalogram (EEG)
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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.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/chamwen/MEKT
공식 코드Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces
https://github.com/chen-xdu/gmss
공식 코드GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
https://github.com/chengstark/interp.-eeg-public
공식 코드https://github.com/chenxiachan/eegnex
공식 코드Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX
https://github.com/clbonet/Sliced-Wasserstein_on_Symmetric_Positive_Definite_Matrices
공식 코드Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals
https://github.com/clbonet/spdsw
공식 코드Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals
https://github.com/cnnp-lab/2024_asm_eeg
공식 코드Anti-seizure medication tapering correlates with daytime delta band power reduction in the cortex
https://github.com/cnnp-lab/2025_asm-szstate_gmb
공식 코드Dual mechanism of Anti-Seizure Medications in controlling seizure activity
https://github.com/cnnp-lab/seizure_severity_library
공식 코드https://github.com/comp-imaging-sci/attention-based-bilstm-sleep-scoring
공식 코드https://github.com/coreylammie/memristive-seizure-detection-and-prediction-by-parallel-convolutional-neural-networks
공식 코드Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks
https://github.com/cuijiancorbin/A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG
공식 코드https://github.com/cuijiancorbin/Subject-Independent-Drowsiness-Recognition-from-Single-Channel-EEG-with-an-Interpretable-CNN-LSTM
공식 코드https://github.com/cuijiancorbin/Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI
공식 코드Towards Best Practice of Interpreting Deep Learning Models for EEG-based Brain Computer Interfaces
https://github.com/cuijiancorbin/eeg-based-cross-subject-driver-drowsiness-recognition-with-an-interpretable-cnn
공식 코드https://github.com/danielathome19/Pianoid-EEG-NN
공식 코드Simulation of Neural Responses to Classical Music Using Organoid Intelligence Methods
https://github.com/danielathome19/pyorganoid
공식 코드Simulation of Neural Responses to Classical Music Using Organoid Intelligence Methods
https://github.com/dapascual/GAN_epilepsy
공식 코드Synthetic Epileptic Brain Activities Using Generative Adversarial Networks
https://github.com/davidruegamer/BoostingSignalSynchro
공식 코드https://github.com/dcwil/eegspdnet
공식 코드https://github.com/deepBrains/TSception
공식 코드TSception: A Deep Learning Framework for Emotion Detection Using EEG
https://github.com/desa-lab/eeg-image-reconstruction
공식 코드https://github.com/devjake/eeg-diffusion-pytorch
공식 코드EEG Synthetic Data Generation Using Probabilistic Diffusion Models
https://github.com/dinuka-1999/braineocare
공식 코드Using Explainable AI for EEG-based Reduced Montage Neonatal Seizure Detection
https://github.com/dl4mhealth/comet
공식 코드Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series
https://github.com/dl4mhealth/lead
공식 코드LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease Detection
https://github.com/dl4mhealth/medformer
공식 코드Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
https://github.com/dlcjfgmlnasa/NeuroNet
공식 코드https://github.com/dlcjfgmlnasa/SynthSleepNet
공식 코드https://github.com/dominikklepl/AD-energy-landscape
공식 코드Characterising Alzheimer's Disease with EEG-based Energy Landscape Analysis
https://github.com/dreamento/dreamento
공식 코드Dreamento: an open-source dream engineering toolbox for sleep EEG wearables
https://github.com/drwuHUST/iGS
공식 코드https://github.com/dslaborg/frequency-pretraining
공식 코드Data-Efficient Sleep Staging with Synthetic Time Series Pretraining
https://github.com/dslaborg/sumo
공식 코드https://github.com/duanyiqun/ctnas-eeg
공식 코드Cross Task Neural Architecture Search for EEG Signal Classifications
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.