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 计算技能以及强大的神经生理学知识基础。同样，小说 神经系统疾病的治疗通常需要问题解决者（即工程师）， 先进的计算技能以及系统神经科学的坚实基础。的 这个培训计划的基本前提是，计算能力强的早期参与 学生，主要是工程师，在理解神经科学的基本机制将 加快中风诊断和治疗的技术和解决方案的开发， 帕金森氏病，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。凭借多年的研究经验， 这些疾病存在于圣路易斯的华盛顿大学，我们提出了一个培训计划， 将培养工程博士生解决难题的共同技能 在神经工程学中。这个新的培训计划的毕业生将有知识， 专业知识，以追求学术研究生涯和/或私营部门的研究生涯 在神经技术领域。我们请求支持四个博士前的学生在拟议的五年 程序.队列将包括五个总的博士前职位，每两年的持续时间。

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.