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INTERDISCIPLINARY INSTITUTE OF NEUROSCIENCE AND TECHNOLOGY

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   INTERDISCIPLINARY INSTITUTE OF NEUROSCIENCE AND TECHNOLOGY

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    INTERDISCIPLINARY INSTITUTE OF NEUROSCIENCE AND TECHNOLOGY

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               INTERDISCIPLINARY INSTITUTE OF NEUROSCIENCE AND TECHNOLOGY

GRADUATE SCHOOL OF ZJU

WELCOME TO JOIN US

   INTERDISCIPLINARY INSTITUTE OF NEUROSCIENCE AND TECHNOLOGY

      620-22日,由中国工程院和美国工程院联合举办的2019年度中美工程前沿研讨会( China-American Frontiers of Engineering Symposium, 简称CAFOE)在美国加州圣迭戈举行。CAFOE是中美两国工程院共同主办的重要学术交流活动,旨在为中美两国的优秀青年工程师和科研人员提供一个具有交叉学科特色的互动平台,对工程领域的前沿科学问题进行交流,对工程技术的实践与应用进行探讨,从而让两国青年科研人员能够进行深度的国际交流与合作。经过主办方长达三个月时间的考验和选拔,中国工程院对来自全国各地众多推荐和报名候选人的技术前沿性、学术水平和英语交流能力等进行了严格考察,最终确定28人入选本次研讨会,围绕“智慧城市、新材料、神经工程和5G无线通讯技术"等工程学科的前沿领域和热点问题展开研讨与交流。


   浙江大学系统神经与认知科学研究所赖欣怡教授不仅成功获选为2019年度中美工程前沿研讨会中方大会报告人(中方8名、美方8名)之一,并代表神经工程领域作了题为Development and Prospect of Neuromodulation Technology的大会报告,展示了浙江大学青年科学家在神经工程领域的实力和潜力。


  为表彰参会代表在工程领域的杰出贡献,中国工程院首次授予参会的中方代表“中国工程前沿杰出青年学者”称号,并由中国工程院院士程京为获选人颁发证书。图片1.png

赖欣怡教授与中国工程院程京院士合影

图片2.png

 赖欣怡教授与美国工程院院长John Anderson院士合影 


自2009年起,中美两国工程院联合主办“中美工程前沿研讨会”,每两年举办一届,轮流在两国召开。每届会议由中美双方各指定一位主席,并各自遴选出约30位本国优秀中青年工程师和科研人员参会。主办方对参会者具有非常严格的选拔程序和要求。参加者须为年龄45周岁以下(1974年1月1日以后出生),了解并熟悉本领域的前沿技术,具有较高的学术水平,能熟练运用英语写作及交流,特别是有较强的英语口语能力。研讨会最大特点是将不同领域的专家聚集在一起,鼓励他们进行跨学科交流,从而促进学科间合作,碰撞创新火花。

本届研讨会由中国工程院程京院士和美国工程院鲍哲南院士担任主席,中国工程院副院长王辰院士、美国工程院院长C. D. Mote, Jr.致欢迎辞并全程参会


图片3.png    赖欣怡教授2019年中美工程前沿研讨会大会报告

 

图片4.png          2019年中美工程前沿研讨会会人员大合


2019-07-02 READ MORE

为促进博士生学术交流,提高博士生的科研和创新能力,为生物医学工程相关学科领域的博士生搭建高水平的学术交流平台,浙江大学将于2019年10月25-27日在杭州举办“2019年全国生物医学工程博士生学术论坛”。本次活动由国务院学位委员会办公室和教育部学位管理与研究生教育司主办,浙江大学生物医学工程与仪器科学学院、浙江大学系统神经与认知科学研究所承办。论坛以加强博士生创新能力为宗旨,为生物医学工程领域内的博士生搭建高起点、高水平、最前沿的学术交流平台,以开阔视野、启迪才智、增强创新意识、提高学术和工程创新能力。现诚邀国内外各大高校优秀博士生于金秋十月齐聚杭州,探讨学术前沿,交流科研成果!

 

论坛主题与分论坛:

论坛主题围绕生物医学工程学科的前沿领域,分论坛包括:①生物医学传感与检测分论坛,②先进诊疗技术与智能医学仪器分论坛,③医学影像与神经工程分论坛,④医学大数据与人工智能的交叉分论坛。

 

邀请对象:

国内外生物医学工程等相关领域的在读博士生。同时欢迎医学、生命科学、信息科学等相关学科的在读博士生参加,特别欢迎西部高校和科研院所的在读博士生参加。国外的在读博士生仅限受邀代表报名。本论坛将为参会博士生提供在杭期间食宿。

参会博士生人数:100-120人

 

论坛形式:

国内外著名专家特邀报告、博士生学术报告与交流(口头报告、墙报、实物展示)及专家点评、浙江大学参观、企业参观等。

论坛将评选最佳报告奖、最佳墙报奖、最佳实物展示创意奖多种奖项。颁发证书与奖励。

 

论坛时间与地点:

论坛时间:2019年10月25-27日

论坛地点:浙江大学(玉泉校区)生物医学工程及仪器科学学院

会议日程简表如下:

时间

上午

下午

10月25日

报到

10月26日

开幕式、大会报告

分会报告

10月27日

分会报告、参观、交流、离会


报名流程:

1.阅读会议通知,下载摘要模板(下载地址及详细会议通知见浙江大学生仪学院院网http://www.cbeis.zju.edu.cn/,浙江大学系统神经与认知科学研究所官网http://www.ziint.zju.edu.cn/),请按模板准备摘要,语言为中文或英文,摘要300-500字,不超过2页。撰写要求:以目的、方法、结果、结论的结构书写,建议摘要图文并茂。

2. 请在2019年10月10日前将报名信息、投稿摘要、博士生学生证扫描件(或其他可证明博士生身份的材料)发送至论坛官方邮箱zju_bme2019@zju.edu.cn,提交材料标题格式为:姓名+学校+参会主题类别,收到材料后主办方会回复邮件确认。

3. 论坛组委会将根据报名人情况和投稿摘要情况,以邮件形式发送摘要录用通知,文稿未被录用的博士生将不再另行通知。报告类型将尽可能尊重报名人意愿,根据会议日程安排,组委会也可能调整部分报名人的报告类型。口头报告和墙报,及实物展示的具体要求见第二轮通知。

4.参会费用:对于摘要被录用的博士生,会议免收注册费、会议资料费,会议期间统一安排食宿(不收取费用),并报销城市间往返旅费(原则上为高铁或动车二等座、火车硬座或硬卧、客车等,不超过2000元。个别交通困难情况请与会务组联系解决)。受邀参加的国外博士生的差旅费报销一人一议。


投稿及联系邮箱:zju_bme2019@zju.edu.cn

联系人:黄运操老师 (0571-87952002)张伶俐老师(0571-87951249)



附件1. 摘要模板 (ZJU_BME2019).doc



2019-09-06 READ MORE
2019-07-05 READ MORE


经浙江大学系统神经与认知科学研究所学生委员会对申报材料的综合审核,同意以下学生参加2019年夏令营。

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一、夏令营活动信息:

1. 夏令营活动时间:710日至712日;

2. 报到时间:71010:00-13:30(提供午餐),夏令营主办方提供710-11日两天的住宿,71214:00前退房,710日无法报到者,取消参营资格;

3. 报到地点:锦江之星(凯旋路店),地址:杭州市江干区凯旋路451号,电话:0571-86711111

二、营员准备工作:

1. 62814:00前填写参营回执(附件1),与身份证、学生证、外语成绩单、学校相关部门盖章的成绩单(本科两年半成绩)、申请材料中涉及的相关证明材料的电子版文件,一并发送至fengxinwei@zju.edu.cn邮箱。逾期未提交回执视作放弃参加本次夏令营;

2. 75日前将电子版结核菌测试结果发送至fengxinwei@zju.edu.cn邮箱。由于实验室属于高洁净环境,营员须进行结核菌测试,可经由皮测、胸片或血液等不同方法取得;

3. 报到时需出示身份证、学生证、外语成绩单、学校相关部门盖章的成绩单(本科两年半成绩)、申请材料中涉及的相关证明材料等原件;

4. 报到时需提交材料:单程来杭车票或飞机票(登机牌及电子行程单)。

三、营员注意事项:

1. 营员请自行提前预订往返车票,夏令营举办方不提供订票服务;

2. 夏令营活动期间营员必须听从带队老师安排,参加集体活动,不得擅自活动;

3. 差旅费报销标准:飞机、火车(含动车组列车)按实际路线的火车硬座(或二等座)票价报销,汽车按实际路线票价报销。营员报到后需全程参加夏令营活动,否则不予报销差旅费(按浙大本科生实习费用规则报销,车票信息与学校或家庭所在地乘车区间相符者有效)。

确认参营同学请加2019ZIINT入营微信群:

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附件1:2019ZIINT参营回执.xlsx

附件2:夏令营营员衣服尺码.jpg

 

2019-06-26 READ MORE
2019-05-28 READ MORE
2018-10-11 READ MORE
2018-10-11 READ MORE

How do our brains enable us to see the many shapes of objects in the world? One idea posed by neuroscientists is that there are different types of neurons in the brain that recognize different elements of shape, such as straight lines, curves, and corners, and that shapes are the result of integrating these different basic elements. However, where these neurons are and how their information is integrated is not well understood. 


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In the late 1960s, Nobel Laureates Hubel and Wiesel discovered that the first stage of visual information processing in the cortex (primary visual cortex) contains submillimeter-sized functional units called orientation columns. They showed that each column contained neurons responsive to only a certain contour orientation (e.g. neurons in a ‘vertical’ orientation column would respond to the vertical contour of a tall tree but not to the contour of a horizontal tree branch). It was later discovered that the set of all possible orientation columns (0-180 deg) shifted systematically around a point in a ‘pinwheel-like’ fashion. This concept of a single orientation column encoding a single contour orientation has been a cornerstone of sensory systems neuroscience.


In this study, two research teams cooperated to develop a novel, highly precise method of targeting electrodes in the orientation column and accurately determinng their position, so that different regions within single orientation columns could be probed. Using intrinsic signal optical imaging to map the orientation columns, researchers conducted systematic and comprehensive study of the functional properties of neurons in different parts of individual orientation columns. For the first time, they found that within single orientation columns there is a clear distribution of neurons with different functional preferences. Specifically, they found three subdomains, whose functional responses were consistent with the encoding of straight lines, curves, and complex contours, respectively. This suggested that single orientation columns may contain multiple basic elements for building shapes and led to a new concept of the ‘pinwheel-centered orientation hypercolumn’. Thus, their technical advance has led to a new view of the orientation column and of cortical functional architecture. This new finding will also be useful for computational models of shape encoding in the brain.

 

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Online Paperhttps://advances.sciencemag.org/content/5/6/eaaw0807


2019-06-06 READ MORE

Columnar connectome: towards a mathematics of brain function

https://www.mitpressjournals.org/doi/abs/10.1162/netn_a_00088


Summary:

What makes the brain unique is its vast network of connections. It is the SYSTEMATIC PATTERNs of functional connections lead to behavior, thoughts, and feelings. This article proposes that there are common repeated patterns of connectivity and that these patterns can be represented mathematically. Such brain math opens doors to understanding biological thought, design of new targeted brain-machine interfaces, and a new generation of artificial intelligence.


Abstract

Understanding brain networks is important for many fields, including neuroscience, psychology, medicine, and artificial intelligence. To address this fundamental need, there are multiple ongoing connectome projects in the US, Europe, and Asia producing brain connection maps with resolutions at macro-, meso-, and micro-scales. This viewpoint focuses on the mesoscale connectome (the columnar connectome). Here, I summarize the need for such a connectome, a method for achieving such data rapidly on a largescale, and a proposal about how one might use such data to achieve a mathematics of brain function.

2019-05-07 READ MORE

The brain is made up of “cities” and “buildings” with different functions. Numerous neural connections are like “information roads” that connect them into a network. Based on the brain network, information is transmitted from sensory input, processed in the brain, and ultimately produces memories, emotions, and behaviors. Therefore, understanding the brain requires mastering the “brain map”, which is like having a map when people travel. However, at present, when brain scientists explore the mysteries of the brain, but there is no complete "brain traffic map" for reference.

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On April 24th, local time, the team of Anna Wang Roe, Institute of Systematic Neurology and Cognition, Zhejiang University, published a brain network study online in Science Advances. The latest breakthrough in the method. Their new technology, INS-fMRI, combines infrared light stimulation with magnetic resonance imaging for the first time. This new method allows sub-millimeter brain connections in the living brain, enabling us to be faster and more systematic. Look at the "brain traffic map" to understand the transmission of information. “It’s like, we can not only know that a package departs from a laboratory building in Zhejiang University in Hangzhou to Beijing, but also knows its destination details such as district, street, building and even floor number” Xu Guohua, the first author of the article Introduced in the interview.

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Other participants in the study included the co-first author, PhD studeng Qian Meizhen, correspondent author Dr. Zhang Xiaotong, Dr. Chen Gang and Dr. Anna Wang Roe. They developed INS-fMRI technology to study brain networks in vivo, and their characteristics can be summarized as faster, stronger, and higher.

faster

The anatomical methods used to map brain connections usually involve injecting dyes at several initial locations in the brain, taking weeks to transport the dye and "painting" the nerve connections, then sacrificing the animal to make the brain slices, and finally very time-consuming image reconstruction and analysis. Even so, only a few injection sites can be studied in an animal.

The new technology invented by this research group combines laser stimulation and magnetic resonance imaging to quickly display in three dimensions. Preliminary results can be obtained in 1-2 hours of scanning, which is very convenient for studying brain regions at the whole brain level. The degree of response can be quickly studied in a single-day experiment. Xu Guohua said: "Instead of slowly coloring the road, it is better to send a bunch of express delivery from Hangzhou. In a very short time, we can know which cities they have arrived in."

“In addition, the benefits of INS-fMRI technology are not only fast, but also facilitate the in vivo experiments, greatly reducing the number of animals used, and conducting multiple follow-up studies on the same animal, such as studying brain development,” Wang Jing The professor said.

● stronger

Stronger performance means quantifiable and more accurate.

The infrared pulse is illuminated by a 200 micron diameter fiber to the target brain region, causing a neural response in the brain region and associated brain regions. Once the signal is activated, it will cause blood oxygen changes. This blood oxygen signal can be captured by magnetic resonance imaging. "The strength of the connection can be quantified as the magnitude and correlation of the response via the blood oxygenation reaction," Xu Guohua said.

In the early years, Professor Wang Jing was inspired by the use of laser instead of current-activated neurons in cochlear implant research. She began this research and became the first scientist to introduce infrared light stimulation into brain research. The significance of this shift is about precision, the infrared light pulse delivers energy to a very small space, achieving precise stimulation and causing spatial specificity of the connected sites.

● higher

Higher performance is high resolution. When using ultra-high field (7 Tesla) magnetic resonance imaging, these response positions can be presented at sub-millimeter resolution. This provides the basis for studying the activities of the various cortical functional columns ("buildings") and the various layers of the cortex ("floors"). "We combined the infrared light stimulation method with functional magnetic resonance and proposed this experimental method for the first time in the world." Wang Jing said.

The so-called functional column is an information processing unit inside the brain, and the size is only two or three hundred micrometers. The primate brains are arranged neatly by these functional columns; each functional column happens to correspond to a specific cognitive function and is connected to each other as a network. Therefore, for primates including humans, it is especially important to map brain connections between macro and micro scales.

However, researchers currently only know that functional columns are functional units, but it is not clear how they are specifically connected. Xu Guohua explained: "It's like many tall buildings with different functions, some schools, some hospitals, etc., but we don't understand how these buildings are connecting."

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“This method can be used to systematically stimulate the cortical function column one by one to fully depict the primate mesoscopic connectome.” Wang Jing introduced that this new technology will be a whole brain network with high-resolution functional columns. The map lays the foundation and opens the door for large-scale research. By clarifying the connections between the various functional columns, it will greatly help us understand how the primate (including human) brain works and brain diseases, and will promote the development of neuroscience, psychology, medicine and artificial intelligence.

In the Science Advances article, the research team reported two application examples, corresponding to the study of long-range connections at the whole brain scale, and high-resolution short-range connections within a local range. Experiments have shown that the application of this new method will probably help us to understand the connection and working principle of the brain, and then better understand the disease and precisely regulate the related brain structure and function.

Paper link:  https://advances.sciencemag.org/content/5/4/eaau7046


2019-04-25 READ MORE

Recruiter: Dr. Hisashi Tanigawa

Email: hisashi@zju.edu.cn

Research Interest: Macaque monkey cerebral cortex, Attention, Working memory, Long-term memory, Object Recognition


We are currently seeking a postdoctoral fellow with a strong background in animal models of electrophysiology, who will conduct recoding neuronal activities using Electrocorticography (ECoG), Multi-electrode array (MEA), and Intrinsic Signal Optical Imaging (ISOI) from behaving monkeys’ cerebral cortex. The principal research goals include understanding of neural mechanisms underlying higher cognitive functions, including object recognition, attention, working memory, and long-term memory, and development of brain-machine interface (BMI) for such cognitive functions, in the macaque monkey cerebral cortex. The successful candidate is going to use our 256-channel TDT electrophysiology system (https://www.tdt.com/systems/neurophysiology-systems/).

See also our web page: http://www.ziint.zju.edu.cn/index.php/Index/zindex.html?tid=0&userid=34.


A suitable candidate must be an expert in electrophysiology, have extensive experience with animal experiment and a background in neurobiology/neuroscience. Basic programming skills (Matlab) are required. Experience in behaving monkey experiments, decoding analysis with multivariate pattern analysis (MVPA), and/or TDT electrophysiology system will be helpful, but not necessary. The candidate must be able to communicate in English (oral and written) and be willing to work with students and PhD students. Salary is competitive and commensurate with experience.

 

Salary and benefits are set according to the national and Zhejiang University regulations for post-doctoral associates. The annual salary is generally 160,000-200,000 RMB, depending on your ability and experience. We will pay an additional bonus according to your performance. An apartment on the campus is available at a special price.

 


Zhejiang University Interdisciplinary Institute of Neuroscience & Technology (ZIINT, http://www.ziint.zju.edu.cn) is home to 15 labs, an MRI center for human and nonhuman primate research, nonhuman primate facility, 2 photon and high throughput microscopy, computer cluster, and viral vector core. We foster an environment of exciting collaborative and interdisciplinary interaction. English is the common language; lectures and seminars are given in English.

 

Zhejiang University is located in Hangzhou, China, an hour by bullet train from Shanghai. Home to beautiful West Lake, Hangzhou is both a modern and a historical city, with an emphasis on culture and environment.

 

Interested candidates should send a CV, contact information of two references, and a statement of research interests (1 page) to Dr. Hisashi Tanigawa at hisashi@zju.edu.cn.


2019-09-18 READ MORE

Seeking postdoctoral and faculty candidates for fMRI projects at Zhejiang University. Both human and monkey experimental data is collected on a Siemens 7T, supported by custom RF coils and pulse sequences.  We seek candidates with strong (1) fMRI background, (2) computational and mathematical background, and/or (3) neuroscience background. Any of the following will be considered a plus: fMRI experience, strong quantitative and analytical skills, familiarity with MRI analysis platform (e.g. AFNI, Freesurfer,…), understanding of primate brain circuitry, experience with brain connectomes. Salary is competitive and commensurate with experience. 


Zhejiang University’s Interdisciplinary Institute of Neuroscience & Technology (ziint.zju.edu.cn/en/index.asp) is home to 15 labs, an MRI center for human and nonhuman primate research, coil making facility, nonhuman primate facility, 2 photon and high throughput microscopy, computer cluster, and viral vector core. We foster an environment of exciting collaborative and interdisciplinary interaction. English is the common language; lectures and seminars are given in English.


Zhejiang University is located in Hangzhou, China, an hour by bullet train from Shanghai. Home to beautiful West Lake, Hangzhou is both a modern and a historical city, with an emphasis on culture and environment. Direct flights to Hangzhou are available from LAX, Amsterdam, and multiple cities in Asia. 


Interested candidates should send a CV, names of 3 references, and a statement of research interests to Dr. Anna Wang Roe at annawang@zju.edu.cn

2019-09-12 READ MORE

神经科学和类脑人工智能是国家科技发展战略中的重点方向,为了进一步推动脑科学研究与脑机融合技术的前沿科技创新,培养医、工、信等多学科交叉的跨领域青年人才,浙江大学医学院系统神经与认知科学研究所【赖欣怡教授课题组】,特面向海内外公开招聘博士后2名,竭诚欢迎海内外精英加盟,本招聘广告常年有效,随时接受申请。


一、PI 教授简介

  赖欣怡,浙江大学医学院系统神经与认知科学研究所教授,附属第二医院双聘教授,教育部生物医学工程重点实验室及浙江省医学神经生物学重点实验室研究组长(PI)。

    研究团队长期致力于发展先进的神经工程技术,通过生医微机电技术、超高场磁共振成像技术、神经调控技术、计算神经科学等多学科交叉整合创新,开发脑科学研究及脑疾病诊治的关键技术,探索脑高级功能与神经网络机制,并与各大医院紧密合作,聚焦临床神经精神疾病,推动神经医学发展及科研成果产业化。

研究方向包括:

(1)神经调控技术:发展聚焦超声神经调控及药物递送技术,应用于脑功能与神经精神疾病的神经环路机制研究;

(2) 脑机接口:研究触动觉神经编码机制及多感官神经信息整合模型,应用于双向脑机交互研究;

(3) 生医微机电芯片传感器:基于生医微机电技术开发具复合功能的神经探针与生医微芯片系统。

上述研究获国家自然科学基金、科技部国家重点研发计划、中央高校科研经费、及大科学装置研制项目支持。



个人主页:http://www.ziint.zju.edu.cn/index.php/Index/zindex?userid=19


二、职位简介

1. 与PI教授团队合作,围绕脑科学及脑疾病诊治的研究,发展神经调控技术、脑机交互、生医微机电芯片传感器等关键技术、设计和申请基金项目,撰写论文和专利,以及协助指导博士和硕士研究生。

2. 根据研究需要在站时间可定为2-5年。工作地点为浙江大学医学院系统神经与认知科学研究所和浙江大学附属医院,浙江杭州。

3. 支持与国际一流大学联合培养和国际交流,支持与高新企业合作研发。

 

三、岗位待遇和职业发展

1. 工资及福利待遇按国家和浙江大学博士后相关规定执行。年薪20-30万元人民币,另按个人业绩给予绩效奖金。浙江大学提供博士后公寓(优惠价租赁)。

2. 博士后阶段可认定助理研究员职务。根据业绩可与浙江大学各种师资人才计划和职称晋升衔接。

3. 可推荐至之江实验室任职。相关工作及待遇请参考网页: http://zp.zhejianglab.com/index.aspx?ReturnUrl=%2f

 

四、应聘条件

1. 具有工学、理学、生命科学、医学或药学等相关专业博士学位,已有高水平论文发表或专利授权者优先。

2. 具有较强独立科研能力,工作踏实严谨,善于组织和沟通,具有责任心和团队协作精神。

3. 具以下任一背景经验者优先考虑:

(1)动物脑外科手术。

(2)核磁共振影像数据分析及深度学习算法。

(3)神经电生理数据分析及神经信息编码与解码模型。

(4)良好的编程能力,熟悉MATLABCRPYTHON等。

 

五、应聘方式

1. 材料提供:应聘申请信;个人简历(学习工作经历、发表论文、荣誉奖励等);代表性论着全文;学历和学位证书;2名推荐人的联系方式。

2. 联系人:赖欣怡(laihy@zju.edu.cn,邮件主题注明"博士后申请+姓名"


2019-09-06 READ MORE

SHARED FACILITY

  • Highfield MRI

  • Nonhuman Primate Facility

  • Two Photon Microscopy

  • High Throughput Microscopy

  • RF Coil

  • 3Dprinting and Machinng

  • Computer Cluster

  • Viral Vector Core

  • Highfield MRI

  • Nonhuman Primate Facility

  • Two Photon Microscopy

  • High Throughput Microscopy

  • RF Coil

  • 3Dprinting and Machinng

  • Computer Cluster

  • Viral Vector Core

THE TEAM

ABOUT US

Zhejiang University Interdisciplinary Institute of Neuroscience and Technology (ZIINT) was founded in 2013 by Prof. Anna Wang Roe on Huajiachi Campus. Prof. Anna Wang Roe is an internationally well-recognized scentisit in the field of neuroscience and its related interdisciplines. The ultimate goal of ZIINT is to do fundamental researches in the field of cognitive and behavioral neuroscience, to explore the neural network mechanism of brain advanced function, and to achieve major breakthroughs in brain function and brain diseases. Another goal of ZIINT is to establish links for related disciplines in fields of medicine, neuroscience, engineering and other fields, and work closely with major industries and hospitals to develop new technologies for neuroscience studies and promote our fundamental researches for clinical translation.


Currently, ZIINT has the only actively shielded 7T Ultra-High field magnetic resonance system - the "MAGNATOM 7T" in China, and a live-two-photon imaging system, and also has the top neuroscience and brain cognitive research equipment with automatic, high-throughput, high-speed fluorescence scanning systems recognized by the scientific community, moreover the institute has established 25 basic research laboratories, and is equipped with multiple public experimental platforms to support each laboratories working.


Since the establishment of ZIINT, 16 outstanding PIs have been recruited, they have good academic literacy and profound research capacity, involving a wide range of research fields. A total of 35 funding projects have been awarded by the National Science Fund for Distinguished Young Scholars, the Fund Development Committee Major Research Project Nurturing Project, the National Natural Science Foundation of China, the 973 Scientific and Technological Problem - Oriented Project of the Ministry of Science and Technology, and the National 863 Program. Since our enrollment in 2014, we have already recruited 54 doctoral students and 28 master students. At the same time, high-quality cross-disciplinary international conferences such as "Frontiers in Interdisciplinary Neuroscience and Technology" and "Asia-Pacific Symposium on Advances in UHF MRI" high-field magnetic resonance and other meetings are held each year. The sharing of research experience and technology provides an international front-line communication platform to further promote the development of the field and the exploration of new fields in cross-disciplines. At the same time, we conduct collaboration program with a number of hospitals in Hangzhou to directly promote scientific research achievements conversion.


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