Abstract: This disclosure discloses a method and apparatus for processing a motor MI-EEG signal and a storage medium. The method includes: inputting a source MI-EEG signal belonging to a source domain and a target MI-EEG signal belonging to a target domain to an initial feature extraction model to obtain first source MI features and first target MI features; inputting the first source MI features to an initial classification model to obtain a first classification result outputted by the initial classification model, the first classification result representing an action predicted to be performed in the source MI-EEG signal; and adjusting a model parameter of the initial feature extraction model and/or a model parameter of the initial classification model when a certain condition (set) is met.