Pre-doctoral Training Program in Neuroengineering (RMI)

量化方法在神经科学中有很长的历史，在理解从基因到行为的所有生物组织水平上的神经系统功能方面取得了非凡的进步。现在，来自不同学科的研究人员开始将工程学方法应用于分析大脑功能、操纵大脑功能，以及建造复制或修复受损大脑中丢失的功能的设备。为了进入这个快速发展的研究领域，耶鲁大学提出了一个神经工程跨学科研究生培训计划。这一提议是在耶鲁历史上一个吉祥而重要的时刻提出的：一个新的生物医学工程系刚刚成立，一座新的研究大楼正在建设中；一个新的磁共振研究中心刚刚开幕。 最先进的研究成像能力；高度合作的神经科学界已经增长到占大学生物医学研究活动的一半以上。神经工程项目的博士前学生将从所有这些机构资源中受益。通过将代表7个不同系和联邦政府资助的个人和团队拨款的19名教员聚集在一起进行统一的培训工作，神经工程计划将：1)通过完全沉浸在生物医学工程和神经科学的学科中培养一批科学家；2)在耶鲁创建一个新的、充满活力的跨学科社区；3)开发新的教学课程和课程方法。 4)实施团队方法，使用定量生物医学工程方法来解决神经科学中的复杂问题。在这一跨学科计划中接受培训的学生将做好独特的准备，为学术和工业劳动力做出贡献，并加快神经系统疾病的诊断、治疗和预防的进展。

Quantitative approaches have a long history in the neurosciences, having contributed to the extraordinary progress made in understanding nervous system function at all levels of biological organization?from genes to behavior. Now, investigators from a variety of disciplines are beginning to incorporate engineering approaches in analyzing brain function, manipulating brain function, and building devices that duplicate or repair function lost in the injured brain. Into this rapidly evolving field of study, Yale proposes an Interdisciplinary Graduate Training Program in Neuroengineering. This proposal comes at an auspicious and important time in Yale's history: a new department of biomedical engineering was just formed, with a new research building under construction; a new center for magnetic resonance research was just opened with state-of-the-art research imaging capabilities; and the highly collaborative neuroscience community has grown to account for more than half of the university's biomedical research activity. Predoctoral students in the Neuroengineering Program would benefit from all of these institutional resources. By bringing 19 faculty members-representing 7 different departments and a large base of federally-supported individual and team grants-together in a unified training effort, the Neuroengineering program will: 1) prepare a group of scientists by full immersion in the disciplines of biomedical engineering and neuroscience; 2) create a new and vibrant interdisciplinary community at Yale; 3) develop new didactic courses and curriculum approaches for this field of study; and 4) implement a team approach for using quantitative biomedical engineering methods for solving complex problems in neuroscience. The students trained in this interdisciplinary program will be uniquely prepared to contribute to the academic and industrial workforce, and to speed progress towards diagnosis, treatment, and prevention of disease in the nervous system.