计算生物学专题：基于脑机接口的神经信号采集、分析与处理及其在临床医学中的应用研究【大学组】

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2023-12-29

　　开始日期: 2024-02-17

　　课时安排: 7周在线小组科研学习+5周不限时论文指导学习

　　适合人群

　　适合年级 (Grade): 大学生及以上

　　适合专业 (Major): 电子计算机工程、生命科学、人工智能、软件工程等专业或者希望修读相关专业的学生;需要具备大学微积分及Matlab编程基础

　　导师介绍

　　Dejan

　　加州大学洛杉矶分校 (UCLA)终身正教授

Dejan

　　Dejan导师现任加州大学洛杉矶分校(UCLA)电子计算机工程终身正教授、电气与电子工程师协会会士(IEEE Fellow, Class of 2021)、美国医学与生物工程院院士(AIMBE Fellow， Class of 2022)，获得美国自然科学基金(NSF)早期职业奖(Early Career Development Awards)、ISSCI杰出论文奖，拥有加州大学伯克利分校博士学位。Dejan导师的研究聚焦植入式神经调节系统、领域特定计算、设计方法论，在国际知名期刊发表论文110余篇，h指数48，i10指数135，引用量高达8500+。

　　Prof. Dejan (IEEE Fellow、AIMBE Fellow) received the Ph.D. degree from the University of California at Berkeley in 2006., He is currently a Professor of electrical and computer engineering at the University of California at Los Angeles (UCLA). He is also affiliated with UCLA Bioengineering Department, Neuroengineering field. He is also a Co-Director of the Interdisciplinary Center for Neurotechnology (CENT) Prof.Dejan received the NSF CAREER Award in 2009 and the 2014 ISSCC Lewis Winner Award for Outstanding Paper. He also received the 2007 David J. Sakrison Memorial Prize for his Ph.D. degree.

　　任职学校

　　加州大学洛杉矶分校(UCLA)始建于1919年，是一所拥有百年历史的世界著名公立研究型大学，培养了14名诺贝尔奖获得者，是美国“新常春藤”名校之一。被《美国新闻与世界报道》《泰晤士高等教育》《华尔街日报》等多家权威报刊评为美国第一公立大学，被评为2018《福布斯》最具价值大学排名全美第1位，2020QS毕业生就业力排名世界第3位。2021-22年度，UCLA位列软科世界大学学术排名第13位，U.S. News世界大学排名第14位，泰晤士高等教育世界大学排名第20位。

　　项目背景

　　“2017年3月，硅谷科技风向标埃隆·马斯克宣布创办Neuralink公司，计划在4年内开发出首个用于治疗脑部疾病的脑机接口产品，未来将开发高生物相容性的植入神经接口，实现人工智能植入人脑，取代人类的自然语言交流，实现颠覆性的智能人机接口技术。”在人工智能概念普及的今日，脑机接口将成为开启将人变为“蝴蝶一样自由的思维”，将科幻带进现实的最后一道大门，也是生命科学希望攻克的最后一道课题。打通人工智能与机器的联结，意味着人类可以通过脑电控制假肢、轮椅、机器人等身边的事物，借助深度学习打造电脑，彻底颠覆人类的生活。项目将聚焦脑机接口这一前沿交叉研究课题。"In March 2017, Silicon Valley technology vane Elon Musk announced the establishment of Neuralink, which plans to develop the first brain-computer interface product for the treatment of brain diseases within 4 years, and will develop highly biocompatible implants in the future. Neural interface, realize artificial intelligence implanted into the human brain, replace human natural language communication, and realize subversive intelligent human-machine interface technology.” Today, when the concept of artificial intelligence is popularized, brain-computer interface will become the beginning of turning people into “butterfly-like” Free thinking" is the last door to bring science fiction into reality, and it is also the last topic that life science hopes to overcome. Opening up the connection between artificial intelligence and machines means that humans can control prosthetics, wheelchairs, robots and other things around them through brain electricity, and use deep learning to build computers, completely subverting human life. The project will focus on the cutting-edge interdisciplinary research topic of brain-computer interface.

　　项目介绍

　　本项目是工程与生命科学的交叉研究领域，具体内容包括神经工程和脑机接口、膜生物物理学、动作电位传导、神经信号记录和刺激、神经修复、数据分析与管理。学生将通过本项目了解人工智能为生命科学赋予的机会与限制以及脑机接口的具体案例，在项目结束时提交项目报告，进行成果展示。This project is an interdisciplinary research field between engineering and life sciences. The specific content includes neural engineering and brain-computer interface, membrane biophysics, action potential conduction, neural signal recording and stimulation, neural repair, data analysis and management. Through this project, students will learn about the opportunities and limitations of artificial intelligence for life sciences and the specific cases of brain-computer interface. At the end of the project, students will submit a project report and display the results.

　　项目大纲

　　神经工程和脑机接口：脑研究、脑结构、脑机接口、应用Introduction to neuroengineering and brain-machine interfaces (BCIs). Progress in brain research, brain structures, brain-computer interfaces, applications.

　　膜生物物理学: 膜电位、神经元细胞动力学、霍奇金-赫胥黎模型，膜生物物理学、神经元的电化学模型和动态行为(动作电位)Membrane biophysics. Membrane potential, neuronal cell dynamics, Hodgkin-Huxley model; explain membrane biophysics and electrochemical model of a neuron and its dynamic behavior (action potentials).

　　动作电位传导：电极/溶液界面、电极阵列、临床实例，离子流和电流、膜电位、动作电位Action potential propagation. Electrode-solution interface, electrode arrays, clinical examples; learn ionic flow and current, membrane potential, origin of action potential.

　　神经信号记录和刺激：神经信号刺激，神经信号记录，闭环神经调节;细胞内、细胞外刺激，强度-时间曲线，神经信号处理Neural recording and stimulation. Neural stimulation, neural recording, closed-loop neuromodulation; intracellular and extracellular stimulation, strength-duration curve, signal processing.

　　神经修复、数据分析与管理：心脏起搏器、人工耳蜗、脑深部刺激、脊髓刺激，数据分析，社会影响，神经治疗技术，未来应用Neural prostheses, data analytics, regulatory. Cardiac pacemaker, cochlear implants, deep-brain stimulation, spinal cord stimulation; data analytics; social implications; explain therapeutic neurotechnology, develop outlook into future applications.

　　项目回顾与成果展示Program Review and Presentation

　　论文辅导 Project Deliverables Tutoring

　　项目收获

　　7周在线小组科研学习+5周不限时论文指导学习共125课时

　　项目报告

　　优秀学员获主导师Reference Letter

　　EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等级别索引国际会议全文投递与发表指导(可用于申请)

　　结业证书

　　成绩单