StaFlowNet improves MI-EEG decoding by separating and coordinating global state vectors with temporal flow features via a dual-branch design and state-modulated flow module, outperforming prior methods on three public datasets.
Msvtnet: Multi-scale vision transformer neural network for eeg-based motor imagery decoding
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State-Flow Coordinated Representation for MI-EEG Decoding
StaFlowNet improves MI-EEG decoding by separating and coordinating global state vectors with temporal flow features via a dual-branch design and state-modulated flow module, outperforming prior methods on three public datasets.