Quan Wan

This study uses RNNs to simulate WM prioritization, showing context and priority are encoded via distinct mechanisms in neural representations.

The paper uses RNNs to model how stimulus representations in working memory undergo priority-based transformations, finding that these transformations differ between unprioritized and prioritized memory items.