Assembling global and local spatial-temporal filters to extract discriminant information of EEG in RSVP task.

The ensemble model in this study was end-to-end optimized, which can avoid error accumulation. The sub models optimized by gradient boosting theory can extract discriminant information complementarily and non-redundantly.