Qihong Lu

Hi, my name is Qihong Lu (吕其鸿). I'm interested in computational models of episodic memory. I'm currently an Alan Kanzer Postdoctoral Fellow at Columbia University, working with Daphna Shohamy, and Stefano Fusi. I am affiliated with Center for Theoretical Neuroscience and The Mortimer B. Zuckerman Mind Brain Behavior Institute.

I received my PhD in Cognitive Psychology at Princeton University, where I worked on neural network models of optimal policies for episodic memory with Ken Norman and Uri Hasson. I received my B.S. in Mathematics and Psychology at the University of Wisconsin-Madison, where I worked with Tim Rogers. I originally came from Shanghai, China.

News:

• [2024/07] Our recent work, A Normative Account of the Influences of Contextual Familiarity and Novelty on Episodic Memory Policy, got accepted as a poster at CCN 2024 and as a nanosymposium talk at SFN 2024 !
• [2024/05] Our recent work, Episodic memory supports the acquisition of structured task representations, got accepted as a talk by CEMS 2024 and CogSci 2024! Feel free to reach out if you have any question/comment/suggestion!
• [2023/12] I’m pleased to announce our preprint – Reconciling Shared versus Context-Specific Information in a Neural Network Model of Latent Causes. Feel free to reach out if you have any question/comment/suggestion!
• [2023/09] I will travel to CCN 2023 at Oxford UK to present our recent works (this one and this one).
• [2023/06] I received the Alan Kanzer Postdoctoral Fellowship from Columbia University!
• [2022/05-09] I worked on neuromotor interfaces as a research scientist intern at the CTRL labs @ Reality Labs, Meta!
• [2022/04] Super excited to announce that our recent work is officially out in eLife: A neural network model of when to retrieve and encode episodic memories. And here's the repo!