Translational Neuroscience and Neurotechnology Training (TNNT)

摘要 神经科学的高级研究越来越需要复杂的数学和 除了在神经生理学方面有扎实的知识基础外，还有计算能力。同样，小说 神经疾病的治疗通常需要解决问题的人(即工程师)同时具备这两种技能 高超的计算技能以及扎实的系统神经科学基础。这个 这一培训计划的基本前提是及早参与计算能力强的 学生，主要是工程师，在理解神经科学的基本机制方面将 加快中风诊疗技术和解决方案的发展， 帕金森病，肌萎缩侧索硬化症，创伤性脑损伤，疼痛，癫痫， 瘫痪和其他神经退行性疾病。具有长期的研究经验，在 这些障碍存在于圣路易斯的华盛顿大学，我们提出了一个培训计划， 将培养工科博士生解决难题的通用技能 在神经工程方面。这一新颖培训计划的毕业生将拥有知识和 从事学术研究事业和/或私营部门研究事业的专业知识 在神经科技方面。我们请求在拟议的五年制中资助四名博士前学生 程序。队列将包括总共五个博士前职位，每个职位为期两年。

Abstract Advanced studies in neuroscience increasingly require sophisticated mathematical and computational skills in addition to a strong knowledge base in neurophysiology. Likewise, novel treatments of neurological diseases often require problem solvers (i.e. engineers) with both advanced computational skills as well as a solid foundation in systems neuroscience. The fundamental premise of this training program is that early engagement of computationally strong students, principally engineers, in understanding fundamental mechanisms of neuroscience will accelerate development of technology and solutions for the diagnosis and treatment of stroke, Parkinson’s disease, amyotrophic lateral sclerosis, traumatic brain injury, pain, epilepsy, paralysis, and other neurodegenerative disorders. With long-established research experience in these disorders existing at Washington University in St. Louis, we propose a training program that will develop common skill sets in engineering doctoral students towards solving difficult problems in neural engineering. Graduates of this novel training program will have the knowledge and expertise to pursue either an academic research career and/or a private sector research career in neurotechnology. We request support for four predoctoral students in the proposed five-year program. Cohorts will include five total predoctoral positions, each of two years in duration.