1. Educational Background (in reverse chronological order)：

• 2006-2011: Xiamen University, Condensed Matter Physics, Doctoral Degree (Full-time)
• 2022-2026: Xiamen University, Physics, Bachelor Degree

2. Work Experience (in reverse chronological order)：

• 2026-Present: Shenzhen Loop Area Institute, Assistant Professor
• 2022-2026: Zhejiang Lab, Associate Professor/PI
• 2020-2022: Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Associate Professor/PI
• 2015-2020: The University of Sydney, Postdoc
• 2011-2015: Hong Kong Baptist University, Postdoc

Yang Dongping, PhD, is an assistant Professor and Doctoral Supervisor at the Shenzhen Loop Area Institute. He graduated from Xiamen University with a PhD in Condensed Matter Physics and Conducted postdoctoral research at Hong Kong Baptist University and the University of Sydney. His research focuses on neurodynamics and brain-inspired intelligence, with particular interests in navigation, sleep, and epilepsy, and their applications. He has hosted 1 general project funded by the National Natural Science Foundation of China and 1 key project funded by the Natural Science Foundation of Zhejiang Province, and published over 40 papers in top journals such as Science Advances and PNAS. Cooperation in AI and brain science fields and applications from outstanding students are welcome.

1. Representative Publications (past 5-10 years, in order of impact, corresponding author*)：

Li K T, Wang Z, Gong P, Yang D*. Theta-nested Gamma Oscillations Balance Prediction and Vigilance in Spatial Navigation, PNAS, 2025, 122(43): e2515493122 (SCI 1区, DOI: 10.1073/pnas.2515493122)

Wu S, Huang H, Wang S, Chen G, Zhou C, Yang D*. Neural Heterogeneity Enhances Reliable Neural Information Processing: Local Sensitivity and Globally Input-slaved Transient Dynamics, Science Advances, 2025, 11(14): eadr3903 (SCI 1区, DOI: 10.1126/sciadv.adr3903)

Hu L, Ye L, Ye H, Liu X, Xiong K, Zhang Y, Zheng Z, Jiang H, Chen C, Wang Z, Zhou J, Wu Y, Huang K, Zhu J, Chen Z, Ding M, Yang D*, Wang S*, Harmonic Patterns Embedded in Ictal EEG Signals in Focal Epilepsy: New Insight into the Epileptogenic Zone, BMC Medicine, 2026, in press (SCI 1区, DOI: 10.1101/2023.12.20.23300274)

Chen N, Xu T, Sun M, Yao C*, Yang D*. Understanding Video Transformers: A Review on Key Strategies for Feature Learning and Performance Optimization, Intelligent Computing, 2025, 4: 0143 (SCI 1区, DOI: 10.34133/icomputing.0143)

Ji Y, Xu F, Shuai J, Yang D*, Yao C. Dynamical Mechanism for the Interplay of Circadian, Homeostatic, and Ultradian Rhythm in Normal Human Sleep, Physical Review E, 2025, 111(4): 044215 (SCI 1 区, DOI: 10.1103/PhysRevE.111.044215)

Hong R, Zheng T, Marra V*, Yang D*, Liu JK*. Multi-scale Modelling of the Epileptic Brain: Advantages of Computational Therapy Exploration, Journal of Neural Engineering, 2024, 21(2): 021002 (SCI 2区, DOI: 10.1088/1741-2552/ad3eb4)

Yao C, Xu F, Tang X, Zou W*, Yang D*, Shuai J*. A Physical Understanding and Quantification for the Regulation of Orexin on Sleep, Chaos, 2023, 33(7): 073119 (SCI 1区, DOI: 10.1063/5.0156090)

Liu T, Shah MZH, Yan X, Yang D*. Unsupervised Feature Representation Based on Deep Boltzmann Machine for Seizure Detection, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023, 31: 1624-1634 (SCI 1区, DOI: 10.1109/TNSRE.2023.3253821)

Shah MZH, Liu T, Wei Y, Yang D*. Unsupervised feature representation of sleep EEG data with Transient Deep Boltzmann Machine, IEEE Engineering in Medicine & Biology Society (EMBC), 2023, (DOI: 10.1109/EMBC40787.2023.10340365)

Yan X, Yang D*, Lin Z, Vucetic B. Significant Low-dimensional Spectral-temporal Features for Seizure Detection, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022, 30: 668-677 (SCI 1区, DOI: 10.1109/TNSRE.2022.3156931)

Chu Z, Yang D*, Huang X*. Conditions for the Genesis of Early Afterdepolarization in a Model of a Ventricular Myocyte, Chaos, 2020, 30(4): 043105 (SCI 1区, DOI: 10.1063/1.5133086)

Yang D*, Robinson PA. Unified analysis of global and focal aspects of absence epilepsy via neural field theory of the corticothalamic system, Physical Review E, 2019, 100: 032405 (SCI 1 区, DOI: 10.1103/PhysRevE.100.032405)

Yang D*, Robinson PA. Critical dynamics of Hopf bifurcations in the corticothalamic system: Transitions from normal arousal states to epileptic seizures, Physical Review E, 2017, 95(4): 042410 (SCI 1区, DOI: 10.1103/PhysRevE.95.042410)

Yang D*, Zhou H, Zhou C*. Co-emergence of multi-scale cortical activities of irregular firing, oscillations and avalanches achieves cost-efficient information capacity, PLoS Computational Biology, 2017, 13(2): e1005384 (SCI 1 区, DOI: 10.1371/journal.pcbi.1005384)

Yang D*, McKenzie-Sell L, Karanjai A, Robinson PA. Wake-sleep Transition as a Noisy Bifurcation, Physical Review E, 2016, 94(2): 022412 (SCI 1 区, DOI: 10.1103/PhysRevE.94.022412)

2. Patents：

Method, Device, Electronic Equipment, and Storage Medium for Training Neural Networks
ZL 2025 1 0275403.5, 2025, First Inventor

Method and Device for Training a Reservoir Computing Model Based on Spiking Signals
ZL 2023 1 0971923.0, 2025, First Inventor

Method, Device, and Equipment for Training a Pretrained Action Recognition Model
ZL 2023 1 1519700.7, 2025, Second Inventor