Neural Engineering Training Program (NETP)

神经工程培训计划（NETP）

• 批准号: 10427379
• 负责人: JAMES D. WEILAND
• 金额: $ 21.15万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10427379
• 关键词: Engineering; Training Programs; relating to nervous system

Neural Engineering Training Program (NETP) NETP will train future translational scientists, engineers and clinicians to create innovative and clinically relevant treatments for neurological disorders, by providing unique curriculum and training opportunities for pre-doctoral students. Current treatments provide significant benefits to patients, but are in some ways inadequate because they cannot reliably detect events (e.g. epilepsy), do not provide sensory information at adequate resolution (visual prostheses), obtain low rate and inconsistent information (brain-machine and peripheral nerve interfaces), or have significant side-effects (deep brain stimulation). To improve these therapies, the field of neural engineering faces challenges related to acquiring and understanding large amounts of data from the brain and peripheral nervous system. Clinical neural prostheses will also require the ability to control neural circuits at high spatial and temporal resolution. Training the next generation of leaders in Neural Engineering will accelerate the development of solutions to these problems, but requires interdisciplinary training that not only teaches fundamental concepts but also exposes trainees to clinical practice to inform and motivate research questions towards translational goals. NETP will support four PhD candidates each year. NETP offers a rich, diverse curriculum as well as a wide-range of activities to promote interactions amongst mentors and trainees. Key aspects of NETP include co-mentoring of students by clinician-scientists, curriculum covering engineering, medical, and scientific aspects of neural engineering, an annual statistics workshop to reinforce rigorous experimental design and data analysis, medical seminars for engineering/basic science graduate students, specific training in translational research, and a student run annual research symposium. The environment for the NETP is world-class. Participating faculty leaders have expertise in neural prostheses, brain-machine interfaces, neural signal processing, neuromodulation, computational modeling, biomaterials, neuroscience, and bioelectronics medicine as well as medical school faculty in neurosurgery, urology, neurology, ophthalmology, and anesthesiology. Importantly, the participating faculty include several practicing clinicians who also serve as primary mentors for PhD students. State-of-the-art facilities include the North Campus Research Center, Lurie nanofabrication facility, the Michigan vector core, and the Material Characterization Center. The institutional environment is outstanding. Michigan has highly rated engineering and medical schools with high quality research throughout the university, and is committed to providing high quality graduate training.

神经工程培训计划（NETP） NETP将培养未来的翻译科学家，工程师和临床医生，以创造创新和临床 通过提供独特的课程和培训机会， 为博士生准备的目前的治疗为患者提供了显着的好处，但在某些方面， 不充分，因为它们不能可靠地检测事件（例如癫痫），不提供感官信息 在足够的分辨率（视觉假体），获得低速率和不一致的信息（脑机 和外周神经接口），或具有显著的副作用（深部脑刺激）。提高 这些疗法，神经工程领域面临着与获取和理解相关的挑战， 大脑和周围神经系统的大量数据。临床神经假体也将 需要以高空间和时间分辨率控制神经回路的能力。培训下 神经工程领域的一代领导者将加速这些问题的解决方案的开发。 问题，但需要跨学科的培训，不仅教基本概念， 使学员接触临床实践，以告知和激发研究问题转化为 目标. NETP每年将支持四名博士候选人。NETP还提供丰富多样的课程 作为一个广泛的活动，以促进导师和学员之间的互动。NETP的关键方面 包括由临床医生和科学家共同指导学生，课程涵盖工程，医学， 神经工程的科学方面，一个年度统计研讨会，以加强严格的实验 设计和数据分析，工程/基础科学研究生医学研讨会，具体 翻译研究的培训，以及学生举办的年度研究研讨会。的环境 NETP是世界级的。参与的教师领导在神经假体，脑机 接口，神经信号处理，神经调节，计算建模，生物材料， 神经科学和生物电子医学以及医学院神经外科，泌尿外科， 神经学眼科学和麻醉学。重要的是，参与的教师包括几个 执业临床医生也是博士生的主要导师。最先进的设施包括 北校区研究中心，Lurie纳米工厂，密歇根矢量核心，以及 材料表征中心。体制环境突出。密歇根州高度评价 工程和医学院校与整个大学高质量的研究，并致力于 提供高质量的研究生培训。