Publications

2026

Systematic microcircuit reconfigurations underlie early experience-induced visual cortical plasticity. Yao, L., Shang, Z., Ji, Z., Meng, M., Wang, F., Gu, X., He, M., Wu, S., & Zhang, X. Neuroscience Bulletin, 2026. PDF | code
Dorsoventral gradient of theta sweeps in medial entorhinal cortex. Ji, Z.*, Zhang, H.*, Marshall, C., Stonis, R., & Burgess, N. Science Advances, 2026. PDF | code
Hippocampal theta sweeps indicate goal direction. Yu, C., Ji, Z., Ormond, J., O’Keefe, J., & Burgess, N. Nature Neuroscience, 2026. PDF | code
Dynamical modulation of hippocampal replay through firing rate adaptation. Ji, Z.*, Chu, T.*, Dong, X.*, Yu, C., Bush, D., Burgess, N., & Wu, S. Nature Communications, 2026. PDF | Code
Model-agnostic linear-memory online learning in spiking neural networks. Wang, C., Dong, X., Ji, Z., Xiao, M., Jiang, J., Liu, X., Huan, Y., & Wu, S. Nature Communications, 2026. PDF | Code

Phase Precession Relative to Turning Angle in Theta-Modulated Head Direction Cells. Ji, Z.*, Lomi, E.*, Jeffery, K., Mitchell, A. S., & Burgess, N. Hippocampus, 35(2), e70008, 2025. PDF | Code
A systems model of alternating theta sweeps via firing rate adaptation. Ji, Z.*, Chu, T.*, Wu, S., & Burgess, N. Current Biology, 2025. PDF
Efficient Spatial Learning in the Hippocampus via Left-Right Theta Sweeps in the Entorhinal Cortex. Marshall, C.*, Ji, Z.*, & Burgess, N. Cognitive Computational Neuroscience Conference (CCN), 2025.
Unfolding the Black Box of Recurrent Neural Networks for Path Integration. Chu, T., Wu, Y., Burgess, N., Ji, Z., & Wu, S. The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. PDF | Code | Poster

Firing rate adaptation affords place cell theta sweeps, phase precession, and procession. Chu, T.*, Ji, Z.*, Zuo, J., Mi, Y., Zhang, W. H., Huang, T., Bush, D., Burgess, N. & Wu, S. eLife, 12, RP87055, 2024. PDF

Overestimation in angular path integration precedes Alzheimer’s dementia. Castegnaro, A.*, Ji, Z.*, Rudzka, K., Chan, D., & Burgess, N. Current Biology, 33(21), 4650-4661, 2023. PDF | code | data
Visual information processing through the interplay between fine and coarse signal pathways. Zou, X.*, Ji, Z.*, Zhang, T., Huang, T., & Wu, S. Neural Networks, 166, 692-703, 2023. PDF

Oscillatory tracking of continuous attractor neural networks account for phase precession and procession of hippocampal place cells. Chu, T.*, Ji, Z.*, Zuo, J., Zhang, W., Huang, T., Mi, Y., & Wu, S. Advances in Neural Information Processing Systems (NeurIPS), 35, 33159-33172, 2022. PDF
Adaptation accelerating sampling-based bayesian inference in attractor neural networks. Dong, X., Ji, Z., Chu, T., Huang, T., Zhang, W., & Wu, S. Advances in Neural Information Processing Systems (NeurIPS), 35, 21534-21547, 2022. PDF
Neural feedback facilitates rough-to-fine information retrieval. Liu, X., Zou, X., Ji, Z., Tian, G., Mi, Y., Huang, T., Wong, K.M. & Wu, S. Neural Networks, 151, 349-364, 2022. PDF

Noisy adaptation generates Levy flights in attractor neural networks. Dong, X., Chu, T., Huang, T., Ji, Z.#, & Wu, S.# Advances in Neural Information Processing Systems (NeurIPS), 34, 16791-16804, 2021. PDF
A just-in-time compilation approach for neural dynamics simulation. Wang, C., Jiang, Y., Liu, X., Lin, X., Zou, X., Ji, Z., & Wu, S. Neural Information Processing: 28th International Conference, ICONIP 2021, 15-26, 2021. PDF
A brain-inspired computational model for spatio-temporal information processing. Lin, X., Zou, X., Ji, Z., Huang, T., Wu, S., & Mi, Y. Neural Networks, 143, 74-87, 2021. PDF

An attention-driven two-stage clustering method for unsupervised person re-identification Ji, Z., Zou, X., Lin, X., Liu, X., Huang, T., & Wu, S. Computer Vision - ECCV 2020, 20-36, 2020. PDF
Unsupervised few-shot feature learning via self-supervised training. Ji, Z., Zou, X., Huang, T., & Wu, S. Frontiers in Computational Neuroscience, 14, 83, 2020. PDF

Push-pull feedback implements hierarchical information retrieval efficiently. Liu, X., Zou, X., Ji, Z., Tian, G., Mi, Y., Huang, T., Wong, K.M. & Wu, S. Advances in Neural Information Processing Systems (NeurIPS), 32, 2019. PDF

Learning, storing, and disentangling correlated patterns in neural networks. Zou, X.*, Ji, Z.*, Liu, X., Huang, T., Mi, Y., Wang, D., & Wu, S. Neural Information Processing: 25th International Conference, ICONIP 2018, 506-514, 2018. Best paper award. PDF
Neural information processing in hierarchical prototypical networks. Ji, Z., Zou, X., Liu, X., Huang, T., Mi, Y., & Wu, S. Neural Information Processing: 25th International Conference, ICONIP 2018, 603-611, 2018. PDF

Learning a continuous attractor neural network from real images. Zou, X.*, Ji, Z.*, Liu, X., Mi, Y., Wong, K. M., & Wu, S. Neural Information Processing: 24th International Conference, ICONIP 2017, 622-631, 2017. PDF