Xiaonan L. Liu

This paper shows that drift in temporal context representations in a hippocampal model enhances recall and explains spacing effects through decontextualization and error-driven learning.

The paper introduces a computational model called Theremin that uses error-driven learning in the hippocampus to improve episodic memory function and learning speed compared to Hebbian learning models.

This study shows that retrieval practice improves judgments of learning by using multiple factors, including confidence and retrieval speed.