Training in Computational Neural Engineering

该提案启动了佐治亚理工学院计算神经工程的新的创新培训计划 和埃默里大学在计算技术的交汇处培养下一代研究人员 神经科学、数据科学和临床神经生理学。它解决了由 神经系统功能测量和操作工具的爆炸性增长以及 神经系统疾病和障碍对不断扩大的老年人口构成的日益增长的威胁。该计划 利用过去在联邦资助的培训工作中取得的成功，这些努力帮助催化了最近的快速增长 在埃默里和佐治亚州从事计算神经工程的研究和教育。 及早接触这些领域的交叉点对该计划的使命至关重要。一流的跨学科培训 为期两年的博士课程将为学员提供独特的跨轴培训机会 从基础到临床神经科学，从神经工程到计算神经科学、数据科学和 机器学习。将从生物医学的申请者池中招聘两名研究生 工程(GT和Emory)、生物工程(GT)、电气和计算机工程(GT)和机器 学习博士项目，每年总共招收200多名博士生。没有一个参赛者 该项目在研究生院的第一年提供研究轮换或资助。我们将总共支持四个 在五年期间，每年为两名入学学生提供两年的支持。 资助此类支持将有助于吸引最高质量的学生参加该项目，并为学员提供独特的 有机会在研究实验室之间轮换，建立新的合作研究项目。在我们之前的培训中 经验，这种互动导致了通过奖学金和新研究资助的新合作 资助金。 授课培训将通过现有的和新的课程补充每个博士项目的核心培训 计算神经科学、神经病理学和神经工程，以及一门新课程，为学生提供 在埃默里脑健康中心进行身临其境的临床体验。课外培训包括创新 临床医生/工程人员互动的论坛，以及各种各样的研讨会、方法诊所和期刊俱乐部。 受训人员还将获得新一代研究人员的专业发展，包括 领导力、导师、神经伦理学和公共奖学金方面的培训。学员还将了解到成长中的 从事神经工程行业，并将有实习机会。重要的是，有了坚实的初步 作为所有这些项目成功的证据，该计划瞄准了一个亟需增长的领域。

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.