Si Wu

Email：siwu(at)pku(dot)edu(dot)cn

Lab Homepage：https://www.psy.pku.edu.cn/english/people/faculty/professor/wusi/index.htm

Research area:

Computational Neuroscience, Brain-inspired Computing

Selected publications:

1. Zhao, S.#, Shan, H.#, Liu X.#, ..., Wu, S.* and Mu Y.* (2026). A thalamus-brainstem attractor network drives history-biased decisions. Nature.

2. Ji, Z. L.#, Chu, T. H.#, Dong, X. S. #, Yu, C. M., Bush, D., Burgess, N.* and Wu, S.* (2026). Dynamical Modulation of Hippocampal Replay Sequences through Firing Rate Adaptation. Nature Communications.

3. Wang C. M.*, Dong X. S., Ji Z. L., Xiao M. Q., Jiang J. D., Liu X., Huan Y. X and Wu S.* (2026). Model-agnostic linear-memory online learning in spiking neural networks. Nature Communications.

4. Ji, Z. L. #, Chu, T. H. #, Wu, S.*, Neil Burgess* (2025). A systems model of alternating theta sweeps via firing rate adaptation. Current Biology.

5. Wang, C.M., He, S.C., Lou, S.W., Huan, Y.X., Wu, S.* (2025). Integrating physical units into high-performance AI-driven scientific computing. Nature Communications.

6. Chu, T., Ji, Z., Zuo, J., Mi, Y., Zhang, W., Huang, T., ... & Wu, S.* (2023). Firing rate adaptation affords place cell theta sweeps, phase precession and procession. eLife.

7. Chaoming Wang，Tianqiu Zhang，B31Xiaoyu Chen，Sichao He，Shangyang Li，Si Wu* (2023). BrainPy, a flexible, integrative, efficient, and extensible framework for general-purpose brain dynamics programming. eLife.

8. Zhang, T. Q. #, Lyu, M. Y. #, Liu, X., Wu, S.* (2026). Structure Abstraction and Generalization in a Hippocampus-Entorhinal Inspired World Model.  In International Conference on Machine Learning. ICML.

9. Tianhao Chu#, Yuling Wu#, N Burgess, Z Ji, S Wu* (2025). Unfolding the Black Box of Recurrent Neural Networks for Path Integration. NeurIPS.

10. Xiangyuan Peng#, Xingsi Dong#*, Si Wu* (2025). Vector Quantization in the Brain: Grid-like Codes in World Models. NeurIPS.