Papers with Code 아카이브
Electroencephalogram (EEG)
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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://c4science.ch/source/MultiCentroidHD_public/
공식 코드Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection
https://github.com/53X/CogniNET
공식 코드Cogni-Net: Cognitive Feature Learning through Deep Visual Perception
https://github.com/7ohnkeats/scvcnet
공식 코드https://github.com/935963004/labram
공식 코드Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
https://github.com/935963004/neurolm
공식 코드https://github.com/AGRamirezz/Computer-Vision-for-Music-EEG/tree/main/Code
공식 코드Image-based eeg classification of brain responses to song recordings
https://github.com/AGRamirezz/Decoding-Neural-Activity-to-Reconstruct-and-Generate-Music-Stimuli
공식 코드https://github.com/Ankurac7/RRIA_EEG
공식 코드Real-time classification of EEG signals using Machine Learning deployment
https://github.com/Armanfard-Lab/EEG-CGS
공식 코드https://github.com/BiDAlab/edBBdb
공식 코드edBB: Biometrics and Behavior for Assessing Remote Education
https://github.com/BiDAlab/mEBAL
공식 코드mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level Estimation
https://github.com/ByeonghooLee-ku/ICASSP2020-2020-code
공식 코드https://github.com/CECNL/ExBrainable
공식 코드ExBrainable: An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation
https://github.com/ChiShengChen/MUSE_EEG
공식 코드Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning
https://github.com/DS3Lab/cognival
공식 코드CogniVal: A Framework for Cognitive Word Embedding Evaluation
https://github.com/DS3Lab/ner-at-first-sight
공식 코드https://github.com/DS3Lab/zuco-nlp
공식 코드https://github.com/DashanGao/Federated-Transfer-Learning-for-EEG
공식 코드https://github.com/DavidSabbagh/NeurIPS19_manifold-regression-meeg
공식 코드Manifold-regression to predict from MEG/EEG brain signals without source modeling
https://github.com/DeepBCI/Deep-BCI
공식 코드Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual Recognition
https://github.com/DeepBCI/Deep-BCI/tree/master/1_Intelligent_BCI/Subject_Adaptive_EEG_based_Visual_Recognition
공식 코드https://github.com/Dingkun0817/SDDA
공식 코드Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification
https://github.com/Dntfreitas/GA_PSO_DEEP_LEARNING
공식 코드Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEG
https://github.com/ELEMKEP/bsc_lcs
공식 코드EEG-based Emotional Video Classification via Learning Connectivity Structure
https://github.com/EsiSeraj/EEG-PhaseFreq-Analysis
공식 코드Cerebral Signal Instantaneous Parameters Estimation MATLAB Toolbox - User Guide Version 2.3
https://github.com/FannyGrosselin/CARE-rCortex
공식 코드CARE-rCortex: a Matlab toolbox for the analysis of CArdio-REspiratory-related activity in the Cortex
https://github.com/FlorianHeinrichs/eeg_et_benchmark
공식 코드https://github.com/FlorianHeinrichs/eeg_eye_tracking
공식 코드https://github.com/GWU-CS/EEG-DCViT
공식 코드https://github.com/GeometricBCI/Tensor-CSPNet-and-Graph-CSPNet
공식 코드Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification
https://github.com/HAIx-Lab/SpatialExplanations4BCI
공식 코드Quantifying Spatial Domain Explanations in BCI using Earth Mover's Distance
https://github.com/HKUST-KnowComp/ASER-EEG
공식 코드Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations
https://github.com/HS-Ansbach-CCS/dyca
공식 코드https://github.com/HaohanWang/CF
공식 코드https://github.com/HarlinLee/pediatric_sleep_scoring
공식 코드Automatic Sleep Scoring from Large-scale Multi-channel Pediatric EEG
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