Human & Machine Memory Lab

at the Department of Neuroscience, City University of Hong Kong

Papers Talks Conference Proceedings

Papers

For latest papers, please refer to our Google Scholar page.

2025
A neural network with episodic memory learns causal relationships between narrative events.
Song, H., Lu, Q., Nguyen, T. T., Chen, J., Leong, Y. C., Rosenberg, M. D., Ching, S., & Zacks, J. M.
bioRxiv, 2025.
[PDF]
A neural network model of free recall learns multiple memory strategies.
Li, M., Jensen, K. T., Zhang, Q., Lu, Q., & Mattar, M. G.
bioRxiv, 2025.
[PDF]
Towards Large Language Models with Human-Like Episodic Memory.
Dong, V. C., Lu, Q., Norman, K. A. & Michelmann, S.
Trends in Cognitive Sciences, 2025.
[PDF]
2024
Episodic memory supports the acquisition of structured task representations.
Lu, Q., Hummos, A., & Norman, K. A.
Proceedings of the Annual Meeting of the Cognitive Science Society, 2024.
[PDF]
Reconciling shared versus context-specific information in a neural network model of latent causes.
Lu, Q., Nguyen, T., Zhang, Q., Hasson, U., Griffiths, T. L., Zacks, J. M., Gershman, S. J., & Norman, K. A.
Scientific Reports, 2024
[PDF] [Code]
2022
A neural network model of when to retrieve and encode episodic memories.
Lu, Q., Hasson, U., & Norman, K.A.
eLife, 2022
[PDF] [Code]
BrainIAK: The Brain Imaging Analysis Kit.
Kumar, M., Anderson, M.J., Antony, J.W., Baldassano C., Brooks, P.P., Cai, M.B., Chen, P.H.C., Ellis, C.T., Henselman-Petrusek, G., Huberdeau, D., Hutchinson, J.B., Li, P.Y., Lu, Q., Manning, J.R., Mennen, A.C., Nastase, S.A., Hugo, R., Schapiro, A.C., Schuck, N.W., Shvartsman, M., Sundaram, N., Suo, D., Turek, J.S., Vo, V.A., Wallace, G., Wang, Y., Zhang, H., Zhu, X., Capota, M., Cohen, J.D., Hasson, U., Li, K., Ramadge, P.J., Turk-Browne, N.B., Willke, T.L. & Norman, K.A.
Aperture Neuro, 2022
[PDF] [Package] [Repo]
2021
Evidence for a deep, distributed and dynamic semantic code in human ventral anterior temporal cortex.
Rogers, T. T., Cox, C., Lu, Q., Shimotake, A., Kikuch, T., Kunieda, T., Miyamoto, S., Takahashi, R., Ikeda, A., Matsumoto, R., & Lambon Ralph, M. A.
eLife, 2021
[PDF] [Code]
Learning to perform role-filler binding with schematic knowledge.
Chen, C., Lu, Q., Beukers, A., Baldassano, C., & Norman, K. A.
PeerJ, 2021
[PDF] [Code]
2020
BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis.
Kumar, M., Ellis, C. T., Lu, Q., Zhang, H., Capota, M., Willke, T. L., Ramadge, P. J., Turk-Browne, N. B., & Norman, K. A.
PLoS Computational Biology, 2020
[PDF] [Tutorials]
2018
Shared representational geometry across neural networks.
Lu, Q., Chen, P. H., Pillow, J. W., Ramadge, P. J., Norman, K. A., & Hasson, U.
NeurIPS, Workshop on Integration of Deep Learning Theories, 2018
[PDF] [Code]