Motor Imagery
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Classification of examples recorded under the Motor Imagery paradigm, as part of Brain-Computer Interfaces (BCI).
A number of motor imagery datasets can be downloaded using the MOABB library: motor imagery datasets list
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/gasiki/eeg-reptile
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attention
https://github.com/karaposu/Brain_typing
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals
https://github.com/kusumikakd/EEG_Multiclass
https://github.com/miaozhengqing/weightfreezing
Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation Framework
https://github.com/pulp-platform/multispectral-riemannian
https://github.com/xiangzhang1015/Brain_typing
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.