余山，研究员，博士生导师，脑图谱与类脑智能实验室主任。2000年、2005年分别于中国科学技术大学获得生物学学士和博士学位，2005至2014年在德国马克斯普朗克脑研究所、美国国立精神健康研究所开展博士后研究，2014年回国加入中国科学院自动化研究所。研究方向包括脑网络的信息处理机制、脑启发的人工智能模型与算法、新一代植入式脑机接口系统等。迄今在神经科学与智能技术领域期刊和会议发表论文80余篇，研究得到国家自然科学基金委、科技部重点研发计划、中国科学院战略先导专项、科技创新2030重大项目等支持。

在基础研究方面，围绕大脑信息表示与学习机制这一核心科学问题持续取得原创突破，并推动神经计算原理向类脑模型转化。代表性工作系统揭示了意识调控的神经动力学机制(Nature Communications 2025a)，发现了脑内运动系统空间位置编码的统一神经表征 (Nature Communications 2025b)，阐明了灵长类大脑基于正交低维流形空间与图式复用的快速学习机制(Nature Communications 2026)，构建了具备类人概念生成、理解与交流能力 (Nature Computational Science 2026)和连续学习能力（Nature Machine Intelligence 2019）的新型人工智能模型。

在关键技术攻关方面，面向脑机接口创伤大、植入效率低等核心瓶颈，带领团队构建极微创植入式脑机接口技术体系并持续推进工程化落地。研制的激光微创颅骨开孔系统和柔性电极自动植入机器人在国际上率先实现柔性电极经 300 微米颅骨微孔精准植入，核心装备“CyberSense”作为国内首台产品级柔性电极自动植入机器人交付重大科技设施，植入手术导航设备已在多家科研单位和相关企业投入应用，持续推动脑机接口关键装备的国产化突破。

1. L. Guo, H. Chen, Y. Chen,Y. Bi, S.Yu (2026) A neural network for modeling human concept formation, understanding and communication. Nature Computational Science. 6:497–511.

2. K. Tian, Z. Zhao, Y. Chen, N. Ge, S. Cao, X. Han, J. Gu, S. Yu (2026) Domain-specific schema reuse supports flexible learning to learn in the primate brain. Nature Communications 17(1): 2150

3. B Yang, S Yu (2026) Orthogonal-Rotational Dynamics Supports Efficient Encoding and Updating for Streaming Information in Working Memory. Journal of Neuroscience 46 (3): e2220242025

4. N Ge, S Dai, Y Zhu, S Yu (2026) Energy-based Autoregressive Generation for Neural Population Dynamics. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 40(1), 309-317.

5. K Tian, S Zhao, Y Zhang, S Yu (2026) Multi-dimensional Neural Decoding with Orthogonal Representations for Brain-Computer Interfaces. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 40(3): 2092-2100.

6. H Zhang, Q Ge, X Liu, Y Dang, L Xu, Y Zhuang, S Wu, S Laureys, J He, S Yu (2025) A shared central thalamus mechanism underlying diverse recoveries in disorders of consciousness. Nature Communications 16(1):10400

7. S Cao, X Han, Z Zhao, J Gu, T Jiang, S Yu (2025) Hand position fields of neurons in the premotor cortex of macaques during natural reaching. Nature Communications 16(1):3489. doi: 10.1038/s41467-025-58786-3.

8. Y Zhang, G Ma, G Hao, L Guo, Y Chen, S Yu (2025) Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI).

9. K Li, H Chen, J Wan, S Yu (2025) CKDF-V2: Effectively Alleviating Representation Shift for Continual Learning with Small Memory. IEEE Transactions on Neural Networks and Learning Systems.

10. Z Chen, Y Chen, X Zou, S Yu (2024) Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI).

11. K Li, H Chen, J Wan, S Yu (2024) ESDB: Expand The Shrinking Decision Boundary via One-to-Many Information Matching for Continual Learning with Small Memory. IEEE Transactions on Circuits and Systems for Video Technology

12. Y Cui, H Huang, J Liu, M Zhao, C Li, X Han, N Luo, J Gao, DM Yan, C Zhang, T Jiang, S Yu (2024) FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA. Computers in Biology and Medicine 170: 107996

13. F Qin, D Xu, D Zhang, W Pei, X Han, S Yu (2023) Automated Hooking of Biomedical Microelectrode Guided by Intelligent Microscopic Vision. IEEE/ASME Transactions on Mechatronics. DOI: 10.1109/TMECH.2023.3248112

14. W Ren, P Wei, S Yu, YQ Zhang (2022) Left-right asymmetry and attractor-like dynamics of dog’s tail wagging during dog-human interactions. iScience 25(8):104747

15. K Li, J Wan, S Yu (2022) CKDF: Cascaded knowledge distillation framework for robust incremental learning. IEEE Transactions on Image Processing 31:3825-3837

16. Y Xin, T Bai, T Zhang, Y Chen, K Wang, S Yu, N Liu, Y Tian (2022) Electroconvulsive therapy modulates critical brain dynamics in major depressive disorder patients. Brain Stimulation 15 (1):214-225

17. J Hua, Z Yang, T Jiang, S Yu (2021) Pairwise interactions in gene expression determine a hierarchical transcriptional profile in the human brain. Science Bulletin 66 (14):1437-1447

18. B Cui, G Hu, S Yu (2021) Deepcollaboration: Collaborative generative and discriminative models for class incremental learning. Proceedings of the AAAI Conference on Artificial Intelligence 35(2):1175-1183

19. G Hu, B Cui, Y He, S Yu (2020) Progressive relation learning for group activity recognition. CVPR

20. G Zeng, Y Chen, B Cui, S Yu (2019) Continual learning of context-dependent processing in neural networks. Nature Machine Intelligence 1:364–372.

21. Zeng G, Huang X, Jiang T, Yu S (2019) Short-term synaptic plasticity expands the operational range of long-term synaptic changes in neural networks. Neural Networks, 118:140-147.

22. Huang X, Xu K, Chu C, Jiang T, Yu S (2017) Weak Higher-Order Interactions in Macroscopic Functional Networks of the Resting Brain. Journal of Neuroscience 37 (43), 10481-10497

23. Yu S, Ribeiro TL, Meisel C, Chou S, Mitz A, Saunders R, Plenz D (2017) Maintained avalanche dynamics during task-induced changes of neuronal activity in nonhuman primates. eLife 6:e27119

24. Yu S, Yang H, Nakahara H, Santos, G.S, Nikolic D, Plenz D (2011) Higher-order interactions characterized in cortical activities. Journal of Neuroscience 31(48):17514-17526

25. Yu S, Nikolic D (2011) Quantum mechanics needs no consciousness. Annalen der Physik, 523(11): 931–938

26. Shew WL, Yang H, Yu S, Roy R, Plenz D (2011) Information capacity and transmission are maximized in balanced cortical networks with neuronal avalanches. Journal of Neuroscience 31(1):55-63.

27. Yu S, Huang D, Singer W, Nikolic D (2008) A small world of neuronal synchrony. Cerebral Cortex 18(12):2891-2901

28. Yu S, Wang Y, Li X, Zhou Y, Leventhal AG (2006) Functional degradation of extrastriate visual cortex in senescent rhesus monkeys. Neuroscience 140(3):1023-1029