Members实验室成员

Prof. Bi Guoqiang graduated from the Department of Physics at Peking University with a Bachelor of Science in 1989. He obtained a Master of Science in Physics from New York University in 1991 and a Ph.D. in Biophysics from the University of California, Berkeley, in 1996. From 1996 to 2000, he conducted postdoctoral research at the University of California, San Diego. From 2000 to 2008, he served as an assistant professor and then an associate professor (tenured) in the Department of Neurobiology at the University of Pittsburgh School of Medicine. He received several academic awards, including the Burroughs Wellcome Fund Career Award in the Biomedical Sciences and the Chancellor’s Distinguished Research Award. In 2007, he returned to China to establish a neurophysics laboratory and was appointed as one of the first new chair professors at the University of Science and Technology of China (USTC) in 2008.

Prof. Bi is an internationally renowned biophysicist and neurobiologist, known for his significant contributions to the biophysical mechanisms of cell membrane repair, computational rules and signaling mechanisms of synaptic plasticity, and the cellular dynamics of neural network reverberation. His discovery of spike-timing-dependent plasticity (STDP) and subsequent research on its molecular and cellular mechanisms and computational rules have advanced the field and had a broad impact on information science and artificial intelligence. He has published over 100 papers in journals such as Science, Nature, Nat Neurosci, Nat Biotech, Natl Sci Rev, PNAS, Ann Rev Neurosci, with more than 16,000 citations, including over 5,000 citations for a single paper. He has been continuously selected as Elsevier’s Highly Cited Chinese Researchers and the top scientist with global career influence in the field of neuroscience.

He is currently Co-Director of the Integrated Imaging Center at the Hefei National Research Center for Microscale Material Science. He also serves as the executive council member of the Chinese Neuroscience Society, a committee member of the Cryo-Electron Microscopy Branch of the Chinese Biophysical Society, a standing committee member of the Biomedical Photonics Professional Committee of the Chinese Optical Society, and a working group member of the International Brain Initiatives (IBI). Additionally, he is the Associate Editor of the international journal Frontiers in Neural Circuits, and an editorial board member of Current Opinion in Neurobiology, Molecular Brain and Neuroscience Bulletin. He leads major research projects, including the National Key Basic Research Development Program, CAS interdisciplinary collaboration projects, CAS Strategic Priority Research Program, NSFC major research programs, and NIH BRAIN Initiative.

Research Interest

The brain consists of myriad neurons that connect with one another through heterogeneous and plastic synaptic connections, forming highly ordered circuits with multi-scale complexity. Neuronal activity within and across these circuits shapes their connectivity and underlies perception, emotion, decision and learning in animals and human.

Towards understanding this complex system, Dr. Bi’s group aims at developing and applying cutting-edge light and electron microscopy techniques, as well as AI-based data analysis methods, to explore the organization and activity of the brain across multiple spatiotemporal scales. The ultimate goal is to understand the logic behind the structure and dynamics of brain circuits, to reveal basic mechanisms underlying brain function and dysfunction, and to inspire next generation artificial intelligence.

• Architecture of synapses and neuronal circuits;
• Synaptic plasticity and learning in vitro, in vivo and in silico;
• Cross-scale imaging, AI-based big data techniques and their biomedical applications.

讲席教授 博导 国家级人才项目 国家杰青 国家高层次人才特殊支持计划科技创新领军人才

1989年毕业于北京大学物理系，获理学士学位，1991年获纽约大学物理学硕士，1996年获加州大学伯克利分校生物物理学博士，1996-2000年于加州大学圣地亚哥分校从事博士后研究，2000-2008年任美国匹兹堡大学医学院神经生物学系助理教授、副教授（终身教职），获Burroughs Wellcome Fund Career Award in the Biomedical Sciecnes、Chancellor’s Distinguished Research Award等学术奖。2007年回国组建神经物理学实验室，2008年受聘中科大首批新创讲席教授。

毕国强教授是国际知名生物物理与神经生物学家，在细胞膜修复的生物物理机理、神经突触可塑性计算规则与信号机制、以及神经网络回响活动的细胞动力学机理等方面做出了重要贡献。其关于神经放电时间依赖的突触可塑性（Spike-timing-dependent plasticity，STDP）的发现以及关于STDP的分子细胞机制和计算规则的一系列研究促进了本领域的发展，并在信息科学、人工智能等领域产生了较广泛的影响。在Science、Nature、Nat Neurosci、Nat Biotech、Natl Sci Rev、PNAS、Ann Rev Neurosci等权威期刊发表论文100余篇，被引16000余次，最高单篇被引5000余次。连续入选爱思唯尔中国高被引学者及全球神经科学领域生涯影响力顶尖科学家。

现任合肥微尺度物质科学国家研究中心集成影像中心联合主任。兼任中国神经科学学会常务理事、中国生物物理学会冷冻电子显微学分会委员、中国光学学会生物医学光子学专业委员会常委、国际脑计划组织（International Brain Initiatives, IBI）工作组成员，同时兼任Frontiers in Neural Circuits 国际期刊副主编，以及Current Opinion in Neurobiology、Molecular Brain、Neuroscience Bulletin等期刊编委。主要主持科研项目包括国家重点基础研究发展计划重大研究计划项目、中科院交叉合作团队项目、中科院B类战略性先导科技专项项目、基金委重点项目、重大研究计划集成项目、美国脑计划项目等。

研究方向

大脑由数量庞大的神经元构成。这些神经元通过具有异质性和可塑性的突触相互连接，形成具有多尺度复杂性且高度有序的神经环路。环路内部及环路之间的神经活动不断塑造其联结，并构成动物和人类感知、情绪、决策与学习的基础。

为理解这一复杂系统，毕国强课题组致力于发展和应用前沿光学与电子显微技术以及基于人工智能的数据分析方法，从多个时间和空间尺度研究大脑的组织构架与活动。其最终目标是理解脑环路结构与动力学背后的基本逻辑，揭示脑功能及功能障碍的基础机制，并为新一代人工智能提供启发。

• 突触与神经环路的结构构架；
• 离体、活体和计算模拟中的突触可塑性与学习；
• 跨尺度成像、基于人工智能的大数据技术及其生物医学应用。

Circuit Dynamics Underlying Brain Function and Disorders

Lau lab focuses on the dynamics of neuronal synapses and networks, and the neural circuitry mechanisms underlying brain disorders, especially those related to emotional stress.

We employ electrophysiological and optical approaches to study the dynamics of neuronal network in vitro and in vivo. Pharmacological and optogenetic manipulations are used to modulate neuronal circuit dynamics and to establish animal models of emotion-related disorders, such as anxiety, depression, and autism. To systematically dissect neural circuits involved in such disorders, we also develop and apply high-throughput system-wide mapping techniques based on tissue clearing and high-speed 3D imaging (VISoR) in collaboration with Dr. Guoqiang Bi's group.

Research Interest

• Emergence of reverberatory activity with conserved firing patterns in neuronal networks through activity-dependent synaptic plasticity;
• Brain-wide activity mapping and neural circuitry mechanisms in animal models of depression, anxiety, and autism;
• The mind-body problem: how mental conditions interact with functional and diseased states of internal organs through central-peripheral connectivity.

脑功能与脑疾病相关的神经环路动力学

刘北明课题组关注神经突触与神经网络的动力学，以及脑疾病背后的神经环路机制，尤其关注与情绪应激相关的疾病。

我们采用电生理和光学方法研究离体与活体神经网络的动力学，并通过药理学和光遗传学手段调节神经环路动力学，建立焦虑、抑郁和孤独症等情绪相关疾病的动物模型。为系统解析这些疾病涉及的神经环路，我们还与毕国强课题组合作，发展并应用基于组织透明化和高速三维成像（VISoR）的高通量全系统图谱绘制技术。

研究方向

• 神经网络通过活动依赖性突触可塑性产生具有保守放电模式的回响活动；
• 抑郁、焦虑和孤独症动物模型的全脑活动图谱与神经环路机制；
• 心身问题：心理状态如何通过中枢与外周联结影响内脏器官的功能与疾病状态。

Dr. Qingyuan Zhu is a senior engineer and was selected under a Chinese Academy of Sciences initiative for recruiting outstanding technical professionals. He received his bachelor's degree from the Department of Physics at Tsinghua University and his Ph.D. from the University of Rochester. He subsequently conducted postdoctoral research at the Institute of Optics at the University of Rochester, the Beckman Laser Institute at the University of California, Irvine, and the University of California, San Diego, before joining the University of Science and Technology of China in 2013.

He has extensive experience in optical instrumentation research and development and large-scale system integration. His work spans microscopy and optical manipulation technologies, instrument design and development, and the engineering and management of multifunctional platforms for large research laboratories. At Dr. Guoqiang Bi's laboratory at USTC, Dr. Michael Berns's laboratory at UC San Diego, and the Beckman Laser Institute, he led the design, construction, operation, and maintenance of multiple multifunctional microscopy systems. He also developed integrated imaging platforms combining laser-based microscopic manipulation, spectroscopy, and multiple imaging modalities.

Dr. Zhu has published more than ten SCI- or EI-indexed research and technical papers and is an inventor on five related patents granted across multiple jurisdictions. He developed high-resolution, high-speed whole-brain imaging technology and is a principal inventor of VISoR.

祝清源，博士，高级工程师，中国科学院引进杰出技术人才入选者。本科毕业于清华大学物理系，于罗彻斯特大学获得博士学位，先后在罗彻斯特大学光学所、加州大学尔湾分校贝克曼激光研究所、加州大学圣地亚哥分校从事博士后研究，于2013年加入中国科学技术大学。具有多年光学设备研发和大型设备集成的经历，从事显微成像技术和显微调控技术的研究和设备设计开发及大型实验室多功能设备的研制管理。在中科大毕国强博士实验室、UCSD迈克尔·伯恩斯博士实验室和贝克曼激光研究所主持设计构建，管理维护了多个多功能显微系统，开发整合多种激光显微调控和光谱影像功能的集成影像平台，发表十余篇SCI/EI研究和技术论文，本申请直接相关多国专利授权5项。发展了高分辨高速全脑成像技术，是VISoR技术的主要发明人。

Dr. Changlu Tao is a Principal Investigator at the Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China (USTC). He earned his Ph.D. from USTC in 2017, followed by postdoctoral training under the joint mentorship of Professor Guoqiang Bi (USTC) and Professor Z. Hong Zhou (UCLA). In 2020, he was appointed Associate Investigator at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences (CAS), before returning to USTC in 2025.

At the forefront of structural neurobiology, Dr. Tao's research integrates state-of-the-art in situ cryo-electron tomography (cryo-ET) with correlative imaging to resolve the molecular architecture of neuronal synapses. His pioneering work has uncovered fundamental biophysical mechanisms underlying synaptic transmission and plasticity, yielding milestone publications in top-tier journals such as Science, Nature Neuroscience, The Journal of Neuroscience, and Neuroscience Bulletin.

An active leader in the scientific community, Dr. Tao serves as the Vice Chair and Secretary-General of the Synapse and Neural Plasticity Branch of the Chinese Society for Neuroscience. His research excellence has been recognized with numerous honors, including the USTC President’s Award for Outstanding Research, the CNS-NeuroXess Young Scientist Award, the Carl Storm International Diversity Award, and a Nature Travel Grant. His laboratory's research is backed by major national funding programs, including the Young Scientist Project of China’s Science and Technology Innovation 2030 (Brain Science and Brain-Inspired Intelligence) Major Program, the National Natural Science Foundation of China (NSFC) Innovative Research Group Program, and the Anhui Provincial Natural Science Foundation.

Synapses are the fundamental processing units of neural circuits. Synaptic transmission and plasticity, the biological substrates of learning and memory, depend on the precise spatial assembly and dynamic remodeling of macromolecular complexes within these sub-micron compartments.

The Tao Laboratory is dedicated to opening the molecular black box of the synapse. By developing and integrating cutting-edge in situ cryo-ET and super-resolution fluorescence microscopy, and combining these with electrophysiology, molecular genetics, and AI-driven data analysis, the laboratory reconstructs dynamic, three-dimensional molecular maps of synapses in their native cellular environments. The goals are to: 1. Decode the structural code of synaptic transmission, learning, and memory; 2. Elucidate the pathological mechanisms underlying neurological disorders. 3. Inspire new paradigms for brain-inspired computing and next-generation artificial intelligence architectures.

Extending beyond neuroscience, the laboratory also applies its high-resolution in situ imaging workflows to perform structural analyses of diverse macromolecular complexes and drive the molecular-level digital reconstruction of entire cells.

Research Interest

• Methodology & Tool Development: Developing and integrating in situ cryo-ET, super-resolution fluorescence microscopy, and AI-based computation.
• Synaptic Biology: Resolving the molecular and cellular mechanisms of synaptic transmission and plasticity.
• Structural Cell Biology: Deciphering macromolecular structures in situ and building molecular-scale digital models of intact cells.

陶长路博士现任中国科学技术大学合肥微尺度物质科学国家研究中心课题组负责人。他于2017年获得中国科学技术大学博士学位，随后在毕国强教授（中国科学技术大学）和周正洪教授（加州大学洛杉矶分校）的共同指导下开展博士后研究。2020年，他受聘为中国科学院深圳先进技术研究院副研究员，2025年返回中国科学技术大学。

陶长路博士的研究位于结构神经生物学前沿，综合应用先进的原位冷冻电子断层成像（cryo-ET）与关联成像技术，解析神经突触的分子结构。他的研究揭示了突触传递和可塑性背后的基本生物物理机制，相关成果发表于Science、Nature Neuroscience、The Journal of Neuroscience和Neuroscience Bulletin等期刊。

陶长路博士现任中国神经科学学会突触与神经可塑性分会副主任委员兼秘书长，曾获中国科学技术大学校长研究奖、CNS-NeuroXess青年科学家奖、Carl Storm International Diversity Award和Nature Travel Grant等奖项。其研究获得科技创新2030“脑科学与类脑研究”重大项目青年科学家项目、国家自然科学基金创新研究群体项目和安徽省自然科学基金等支持。

突触是神经环路的基本信息处理单元。作为学习和记忆的生物学基础，突触传递与可塑性依赖亚微米尺度空间内大分子复合物的精确组装和动态重塑。

陶长路课题组致力于打开突触的分子黑箱。通过发展和整合前沿原位cryo-ET与超分辨荧光显微技术，并结合电生理、分子遗传学和人工智能驱动的数据分析，课题组在天然细胞环境中重构突触的动态三维分子图谱，旨在解析突触传递、学习和记忆的结构密码，阐明神经系统疾病的病理机制，并为类脑计算和新一代人工智能架构提供新范式。

除神经科学外，课题组还将高分辨率原位成像流程用于多种大分子复合物的结构分析，推动完整细胞在分子尺度上的数字化重构。

研究方向

• 方法与工具开发：发展并整合原位cryo-ET、超分辨荧光显微和基于人工智能的计算方法。
• 突触生物学：解析突触传递与可塑性的分子和细胞机制。
• 结构细胞生物学：解析大分子原位结构并构建完整细胞的分子尺度数字模型。

Dr. Lingfeng Gou is a research professor specializing in brain connectomics and computational biology. He received his Ph.D. from the University of Chinese Academy of Sciences in 2017. From 2017 to 2022, he conducted postdoctoral research at the Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences. From 2022 to 2026, he served successively as an assistant investigator and an associate investigator at the same center.

His research focuses on developing tools for single-neuron reconstruction and computational methods for brain connectome analysis. By combining large-scale data analysis with deep learning, he seeks to reveal the organizational principles and evolutionary patterns of brain connectivity. He developed the Fast Neurite Tracer (FNT) neuron reconstruction system, which has provided core technical support for several large-scale mouse single-neuron projection maps. He also developed the Gapr software platform for deep-learning-based automated reconstruction and collaborative online proofreading, with support for petabyte-scale data processing. He led the construction and analysis of the first reported large-scale single-neuron projection map of the macaque brain, revealing refined targeting patterns of cortical neuronal axons in primates.

His research has been published with him as a first or co-first author in journals including Cell, Nature Methods, and Nature Neuroscience, including a cover article in Nature Neuroscience. He has been a major participant in the Science and Technology Innovation 2030 Major Project, the National Science and Technology Major Project on Brain Science and Brain-Inspired Research, the National Natural Science Foundation of China International (Regional) Cooperation and Exchange Program, and the Chinese Academy of Sciences Strategic Priority Research Program (Category B).

苟凌峰，博士，特任研究员，脑联接图谱与计算生物学专家。2017年博士毕业于中国科学院大学，2017-2022年于中国科学院脑科学与智能技术卓越创新中心进行博士后研究，2022-2026年先后任该中心助理研究员与副研究员。主要研究方向，聚焦于开发单神经元重构工具与脑联接图谱的计算解析方法，结合大数据分析与深度学习手段，揭示大脑联接的组织原理和进化规律。近年来，研发Fast Neurite Tracer（FNT）神经元重构系统，为多个大规模小鼠单神经元投射图谱的建立提供了核心技术支撑；开发Gapr软件平台，实现基于深度学习的自动重构与多人在线协同校对，支持PB级数据处理；主导完成国际上首个大规模猕猴单神经元投射图谱的建立及分析，揭示灵长类皮层神经元轴突的精细化靶向规律。研究成果以（共同）第一作者，发表在Cell，Nature Methods，Nature Neuroscience（封面论文）等期刊。主要参与科技创新2030-重大科技项目、脑科学与类脑研究国家科技重大专项、国家自然科学基金国际（地区）合作与交流项目、中国科学院战略性先导科技专项（B类）等。