From Cells to Systems and Applications: Computational Neuroscience Training at Em

描述（由申请人提供）：在过去的15年里，埃默里大学和佐治亚理工学院在计算神经科学领域的教职员工数量稳步增长。这些教师的研究从细胞延伸到系统和理论方法。1997年，两所院校成立了联合生物医学工程系，进一步加强了两个校区研究人员之间的高度合作氛围。此外，这两个校区在本科和研究生教学方面都有良好的记录。计算神经科学的培训计划旨在通过形式化本科和研究生两级的课堂作业和研究的综合方法来利用这些优势。强大的NIH和NSF资助的研究项目由超过15名被确定为计算神经科学家的主要研究人员组成，范围从神经动力学的详细细胞计算机模拟到工程方法，以及使用计算方法对癫痫和帕金森病等重要疾病的疾病机制进行定量研究。因此，学生将接触到多层次的方法，最终旨在解决医学问题。该项目为本科生和研究生提供了一个高素质和多样化的学生奖学金申请群体，将使一些具有生物科学主要背景的申请人将计算方法整合到他们的研究中，反之亦然，使更多的计算或理论导向的申请人接触到生物实验研究。该项目包括6名本科生和6名研究生，他们将通过一系列核心必修课和个人选修课来免除神经生物学、数学和计算方法方面的严格课程。本科生研究员将在他们的大三和大四获得为期两年的资助，在此期间，他们将在计算神经科学实验室进行专门的课堂作业和研究。本科学员将主要从埃默里神经科学和行为生物学专业和佐治亚理工学院生物医学工程专业招收，他们分别为该项目带来生物学和定量优势。每年有超过200名学生加入这些专业，我们只接受GPA达到3.5或更高，并对未来的研究研究生培训感兴趣的申请人。该项目的研究生将从神经科学和生物医学工程专业的申请者中招募，这两个专业每年都会收到120多份高素质的申请。计算神经科学研究员的特别课程将在项目网站上公布，该网站还将链接到描述该项目的一个广泛的独立网站。研究生将获得前两年的教育资助，然后获得个人培训资助或研究资助。小灵通398/2590 （Rev. 06/09）页延续格式页

DESCRIPTION (provided by applicant): Emory and Georgia Tech have steadily grown the number of faculty involved in computational neuroscience over the past 15 years. The research of these faculty stretch from cellular to systems and theoretical approaches. In 1997 the two Institutions formed a joint Department of Biomedical Engineering, further strengthening the highly collaborative atmosphere between researchers on both campuses. In addition both campuses have a strong track record both in undergraduate and graduate teaching. The proposed training program in computational neuroscience aims to capitalize on these strengths by formalizing an integrated approach to class work and research on both undergraduate and graduate levels. The strong NIH and NSF funded research programs of more than 15 principal investigators identified as computational neuroscientists range from detailed cellular computer simulations of neural dynamics to engineering approaches and the quantitative study of disease mechanisms underlying important disorders such as epilepsy and Parkinson's disease using computational methods. Therefore students will be exposed to multiple levels of approaches aimed ultimately at addressing medical questions. A highly qualified and diverse applicant pool for student fellowships under this program exists on both undergraduate and graduate levels, and will bring some applicants with a primarily background in the biological sciences to integrate computational approaches into their research, and vice versa brings more computational or theoretically oriented applicants in touch with biological experimental research. The program encompasses a cohort of 6 undergraduate and 6 graduate student fellows, who will absolve a rigorous curriculum in neurobiology and mathematical and computational methods through a core sequence of required classes as well as individually chosen electives. Undergraduate fellows will be funded for a period of two years in their junior and senior years, during which they will undertake specialized class work and research in a computational neuroscience lab. Undergraduate trainees will be primarily recruited from the Emory Neuroscience and Behavioral Biology and the Georgia Tech Biomedical Engineering majors, who bring a biological and quantitative strength to the program, respectively. Over 200 students join these majors annually, and we will only take applicants with a GPA of 3.5 or better and expressing an interest in future research graduate training. The graduate students in this program will be recruited from the applicant pools for the Neuroscience and Biomedical Engineering programs, which together receive more than 120 highly qualified applications each year. A special track for fellows in computational neuroscience will be announced on the program websites that will also link to an extensive independent website describing this program. Graduate students will be funded for the first two years of their education, and then obtain individual training grants or be funded by research grants. PHS 398/2590 (Rev. 06/09) Page Continuation Format Page PUBLIC HEALTH RELEVANCE: The use of computational approaches is becoming more and more important in biomedical research as the myriad of fact that we collect as scientists need to be put back together to enable a synthetic understanding of functioning systems. The training program "From Cells to Systems and Applications: Computational Neuroscience Training at Emory & Georgia Tech" makes a significant contribution to fulfilling the need for highly trained scientists capable of integrating experimental results using computational and theoretical approaches. A new generation of scientists with an integrated training in computational neuroscience graduating from this program will raise our level of being able to simulate and understand the complexity of brain processes underlying neurological and psychiatric diseases.