叶智文博士全职加入深圳医学科学院！（神经科学）

个人简介丨Profile

叶智文博士于2026年7月加入深圳医学科学院（SMART）神经调控与认知研究所，任特聘研究员，并组建感觉运动信号处理与全脑神经动态实验室。

叶智文博士本科就读于哈尔滨工业大学（2006–2010），博士就读于英国帝国理工学院（2010–2015）。此后，他先后在英国弗朗西斯·克里克研究所（2015–2019）和美国华盛顿大学（2020–2026）从事博士后研究。

叶智文博士的研究聚焦于感觉运动信号处理、决策行为及睡眠觉醒调控机制。课题组以大规模电生理记录与成像为基础，整合光遗传学、全脑神经动态分析及神经计算建模等手段，从单神经元到神经网络等多个尺度研究大脑功能。博士期间，叶智文博士通过电生理与光遗传学方法解析睡眠与觉醒的神经调控机制，并以第一（或共同第一）作者在Neuron、Nature Communications、Journal of Neuroscience等期刊发表多篇论文。近期，他主导研发了新一代高密度神经探针Neuropixels Ultra/HD（Neuron，2025），并发现了沿皮层躯体感觉图谱有序传播的全脑旋转波，揭示其环状拓扑连接结构基础及其在感觉运动信息处理与决策行为中的潜在作用（Science，2026）。

Dr. Zhiwen Ye joined the Institute of Neuromodulation and Cognition (INC) at the Shenzhen Medical Academy of Research and Translation (SMART) in July 2026 as a Junior Principal Investigator, where he leads the Sensorimotor Processing and Brain-wide Neural Dynamics Laboratory.

Dr. Ye received his BSc from the Harbin Institute of Technology (2006–2010) and his PhD from Imperial College London (2010–2015). He then carried out postdoctoral research at the Francis Crick Institute in the UK (2015–2019) and at the University of Washington in Seattle (2020–2026).

Dr. Ye's research focuses on sensorimotor processing, decision-making, and the mechanisms of sleep/wake regulation. Grounded in large-scale electrophysiology and imaging, his lab integrates optogenetics, brain-wide dynamics analysis, and computational modeling to study brain function across scales, from single neurons to networks. During his PhD, he used electrophysiology and optogenetics to dissect the neural circuits of sleep/wake regulation, publishing several first or co-first author papers in journals including Neuron, Nature Communications, and the Journal of Neuroscience. He recently led the development of the next-generation high-density probe Neuropixels Ultra/HD (Neuron, 2025) and discovered brain-wide rotating waves that propagate across the cortical somatosensory body map, revealing their underlying ring-topology connectivity and their potential role in sensorimotor processing and decision-making (Science, 2026).

主要奖项与荣誉

Major Awards and Honors

课题组研究方向

Research Directions

理解大脑如何运作，是当今世界面临的根本性科学挑战之一。随着大规模神经记录技术与人工智能的快速发展，神经科学正站在重大突破的前沿。叶智文课题组致力于解决系统神经科学中的核心科学问题，重点关注两个基本方向：大脑如何处理跨模态的感觉运动整合与学习，以及神经振荡与行波（traveling waves）在脑信息处理中的作用和逻辑。

为破解这些问题、推动神经解码并启发新一代人工智能，实验室以“从工具，到解码，再到调控”的思路为研究主线。实验室将新一代电生理记录技术、计算分析与干预手段有机结合，从“观测”全脑尺度的神经活动，迈向“理解”乃至最终“塑造”大脑。围绕这一目标，课题组开展三个相互衔接的研究方向：

（1）全脑神经动态记录工具与行为范式平台。

探索并构建新型全脑神经活动记录工具，搭建多功能、高精度的小鼠行为系统，涵盖跑步机与障碍物任务、虚拟现实（VR）环境、多镜头自由行为追踪与生理状态监测，并实现实时闭环控制，为感觉运动行为研究提供精确、可控的实验范式。

（2）清醒行为小鼠的全脑电生理与成像。

结合大规模多探针Neuropixels电生理记录、皮层宽场成像、双光子钙成像与光/化学遗传学，在小鼠执行行为任务时同步记录跨脑区神经活动，揭示感觉运动信息处理与学习的基本规律，尤其关注跨模态整合以及旋转波的功能逻辑。

（3）计算、机器学习与神经调控。

运用机器学习进行神经解码与大数据挖掘，提炼神经计算原理并启发新的人工智能算法。同时对脑环路进行因果性操控，以检验机制性假设，并为脑疾病的治疗提供依据。

Understanding how the brain works is one of the defining scientific challenges of our time. With rapid advances in large-scale recording and artificial intelligence, neuroscience now stands at the edge of major breakthroughs. The Ye Lab addresses core questions in systems neuroscience, centered on two themes: how the brain processes cross-modal sensorimotor integration and learning, and the roles and logic of neural oscillations and traveling waves in brain information processing.

To tackle these questions, advance neural decoding, and inspire a new generation of artificial intelligence, the lab follows a clear line of inquiry, from tools, to decoding, to manipulation. By coupling next-generation electrophysiological recording with computational analysis and causal perturbation, we aim to progress from observing brain-wide neural activity to understanding and ultimately shaping the brain. Around this goal, the lab pursues three interconnected directions:

(1) Brain-wide recording tools and behavioral platforms. 

Exploring and building new tools for recording brain-wide neural activity, and developing versatile, high-precision mouse behavioral systems, spanning treadmill and obstacle tasks, virtual reality (VR) environments, multi-camera behavioral tracking, and physiological-state monitoring with real-time closed-loop control, to provide precise and controllable paradigms for studying sensorimotor behavior.

(2) Brain-wide electrophysiology and imaging in awake, behaving mice. 

Combining large-scale multi-probe Neuropixels recordings, cortical widefield imaging, two-photon calcium imaging, and opto- and chemogenetics to record and manipulate activity across brain regions while mice perform behavioral tasks, uncovering the rules of sensorimotor processing and learning, with a particular focus on cross-modal integration and the functional logic of rotating waves.

(3) Computation, machine learning, and neural manipulation. 

Using machine learning for neural decoding and large-scale data mining to distill principles of neural computation and inspire new AI algorithms. By causally manipulating brain circuits, we also aim to test mechanistic hypotheses and inform the treatment of brain disorders.

主要论文集

Selected Publications

* 代表共同第一作者，† 代表共同通讯作者。 / * co-first author, † co-corresponding author

1. Ye Z†, Ladd A, MacKenzie N, Kolich L, Li AJ, Birman D, Bull MS, Daigle TL, Tasic B, Zeng H, Steinmetz NA†. Brain-wide topographic coordination of rotating waves. Science 392, eadx1369 (2026). doi:10.1126/science.adx1369

2. Ye Z*, Shelton AM*, Shaker JR, Boussard JM, Colonell J, Minavi S, … Steinmetz NA. Ultra-high-density Neuropixels probes improve detection and identification in neuronal recordings. Neuron 113, 3966–3982.e12 (2025). doi:10.1016/j.neuron.2025.08.030

3. Tran-Van-Minh A*, Ye Z*, Rancz E. Quantitative analysis of rabies virus-based synaptic connectivity tracing. PLOS ONE 18, e0278053 (2023). doi:10.1371/journal.pone.0278053

4. Ye Z, Yu X, Houston CM, Aboukhalil Z, Franks NP, Wisden W, Brickley SG. Fast and slow inhibition in the visual thalamus is influenced by allocating GABAA receptors with different γ subunits. Frontiers in Cellular Neuroscience 11, 95 (2017). doi:10.3389/fncel.2017.00095

5. Jager P*, Ye Z*, Yu X, Zagoraiou L, Prekop HT, Partanen J, Jessell TM, Wisden W, Brickley SG, Delogu A. Tectal-derived interneurons contribute to phasic and tonic inhibition in the visual thalamus. Nature Communications 7, 13579 (2016). doi:10.1038/ncomms13579

6. Uygun DS*, Ye Z*, Zecharia AY, Harding EC, Yu X, Yustos R, Vyssotski AL, Brickley SG, Franks NP, Wisden W. Bottom-up versus top-down induction of sleep by zolpidem acting on histaminergic and neocortex neurons. Journal of Neuroscience 36, 11171–11184 (2016). doi:10.1523/JNEUROSCI.3714-15.2016

7. Yu X*, Ye Z*, Houston CM, Zecharia AY, Ma Y, Zhang Z, Uygun DS, Parker S, Vyssotski AL, Yustos R, Franks NP, Brickley SG, Wisden W. Wakefulness is governed by GABA and histamine cotransmission. Neuron 87, 164–178 (2015). doi:10.1016/j.neuron.2015.06.003

8. Ye Z, McGee TP, Houston CM, Brickley SG. The contribution of δ subunit-containing GABAA receptors to phasic and tonic conductance changes in cerebellum, thalamus and neocortex. Frontiers in Neural Circuits 7, 203 (2013). doi:10.3389/fncir.2013.00203

招聘信息

Recruitment Information

叶智文课题组现面向社会公开招聘副研究员/助理研究员、博士后、科研助理、实验室管理员及访问学生，研究方向涵盖神经科学、神经计算、机器学习及机械/电子/自动化工程。欢迎充满好奇心与科研热情的青年学者加入。

详见下方链接：

https://smart.org.cn/career/research-lab/1193.html

简历投递及推荐信请发送至：

systemsneuro@smart.org.cn

The Ye Lab is now recruiting Associate/Assistant Researchers, postdoctoral fellows, research assistants, a laboratory manager, and visiting students, across areas spanning neuroscience, computational neuroscience, machine learning, and mechanical/electronic/automation engineering. We warmly welcome early-career scholars with strong curiosity and a passion for research to join us. 

For more details, please see the link below:

https://smart.org.cn/en/career/research/1223.html

Please send application materials and reference letters to: 

systemsneuro@smart.org.cn