SS-DBNet: A Task-Driven Framework for Learning Cross-Subject Shared Sparse Directed Brain Networks from EEG.
A task-driven framework for learning discriminative directed inter-channel dependency patterns and a joint loss function is designed to guide shared directed network learning by integrating prediction loss, classification loss, group sparsity regularization, and a class-link constraint to encourage consistent connectiv...