Training in Computational Neural Engineering

该提案启动了格鲁吉亚理工学院计算神经工程的一个新的创新培训计划 和埃默里大学培养下一代的研究人员在计算的交叉点， 神经科学、数据科学和临床神经生理学。它讨论了 用于测量和操纵神经系统功能的工具的激增以及 神经系统疾病和紊乱对不断扩大的老年人口的威胁越来越大。程序 利用过去在联邦政府资助的培训工作中取得的成功，这些培训工作有助于促进快速和近期的增长 在埃默里和格鲁吉亚的计算神经工程的研究和教育。 及早接触到场的交叉点对程序的使命至关重要。第一次跨学科培训 两年的博士课程将为学员提供跨轴培训的独特机会， 基础到临床神经科学，从神经工程到计算神经科学，数据科学， 机器学习每两名研究生将从申请人池中招募生物医学 工程（GT和埃默里），生物工程（GT），电气和计算机工程（GT），和机械 学习博士课程，每年共招收200多名博士生。概无参与 在研究生院的第一年，项目提供研究轮换或资助。我们将支持总共四个 在五年的时间里，每年为两名入学学生提供两年的支助。 资助这种支持将有助于吸引最高质量的学生参加该计划，并为学员提供独特的 有机会通过研究实验室轮换，并建立新的合作研究项目。在我们之前的训练中 经验，这种互动导致了通过奖学金和新研究资助的新合作 赠款。 教学培训将补充核心培训，在每个博士课程与现有的和新的课程， 计算神经科学，神经病理学和神经工程学，以及一门新课程，为学生提供 埃默里脑健康中心的沉浸式临床体验。课外培训包括创新 临床医生/工程师互动的论坛，以及各种研讨会，方法诊所和期刊俱乐部。 学员还将获得新一代研究人员的专业发展，包括 领导力、导师制、神经伦理学和公共奖学金方面的培训。学员还将学习不断增长的 工业神经工程，并将有实习机会。重要的是，在坚实的初步 所有这些企业都取得了成功，这一计划的目标是一个迫切需要增长的领域。

The proposal initiates a new, innovative training program in Computational Neural Engineering at Georgia Tech and Emory University to train the next generation of researchers at the intersection of computational neuroscience, data science, and clinical neurophysiology. It addresses the opportunities provided by the explosion of tools for measurement and manipulation of nervous system function and the challenges posed by the growing threat of neurological diseases and disorders on an expanding senior population. The program leverages past successes in federally-funded training efforts that have helped to catalyze rapid and recent growth in research and education in Computational Neural Engineering across Emory and Georgia. Early exposure to the intersection of fields is critical to the program mission. Interdisciplinary training in the first two years of the PhD program will provide trainees with unique opportunities for training across axes that span basic to clinical neuroscience, and from neural engineering to computational neuroscience, data science, and machine learning. Two graduate students per will be recruited from the applicant pools for the Biomedical Engineering (GT and Emory), Bioengineering (GT), Electrical and Computer Engineering (GT), and Machine Learning PhD programs, which collectively enroll over 200 PhD students per year. None of the participating programs offer research rotations or funding in the first year of graduate school. We will support a total of four students per year over a five-year period, providing two years of support for two entering students per year. funding such support will help attract the highest quality students to the program, and offer trainees the unique opportunity to rotate through research labs and establish new collaborative research projects. In our prior training experience, such interactions have led to new collaborations funded through fellowships and new research grants. Didactic training will complement core training in each PhD program with existing and new courses in computational neuroscience, neuropathology and neuroengineering, and a new course providing students with an immersive clinical experience at the Emory Brain Health Center. Extracurricular training includes Innovation Forums for clinician/engineering interactions, and a wide variety of seminars, methods clinics, and journal clubs. Trainees will also be provided with professional development for this new generation of researchers, including training in leadership, mentorship, neuroethics, and public scholarship. Trainees will also learn the growing industry in neural engineering, and will have opportunities for internships. Importantly, with solid preliminary evidence for the success in all of these ventures, this program targets an imperative area for growth.