Human & Machine Memory Lab

at the Department of Neuroscience, City University of Hong Kong

Papers

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

2025
Towards Large Language Models with Human-Like Episodic Memory.
Dong, V. C., Lu, Q., Norman, K. A. & Michelmann, S.
Trends in Cognitive Sciences, 2025.
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.
2024
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
2022
A neural network model of when to retrieve and encode episodic memories.
Lu, Q., Hasson, U., & Norman, K.A.
eLife, 2022
2022
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
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
2021
Learning to perform role-filler binding with schematic knowledge.
Chen, C., Lu, Q., Beukers, A., Baldassano, C., & Norman, K. A.
PeerJ, 2021
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
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