COMPUTATIONAL VISUAL NEUROSCIENCE TRAINING PROGRAM

描述（由申请人提供）：这是一份机构培训补助金的竞争性更新申请，用于支持纽约大学华盛顿广场校区神经科学中心（CNS）和Courant数学科学研究所（CIMS）的计算视觉神经科学博士后培训。这项资助的首个资助期于2001年9月开始。自成立以来，该培训基金已在纽约大学神经科学中心（CNS）和Courant数学科学研究所（CIMS）提供计算视觉神经科学方面的博士后培训。我们培养具有数学、计算和物理科学背景的初级科学家从事视觉神经科学的研究工作。本项目面向在中国科学院任职的博士后，在中国科学院和中国科学院的共同指导下，分别有研究或论文项目。我们将强调大规模数学建模和神经生物学实验之间的双向互动，例如现代脑成像技术的应用（功能磁共振成像、光学成像、电源成像和多单元记录）。培训计划将建立在我们在CNS和CIMS的跨学科研究和培训方面的丰富经验之上。该计划的特色包括：(i)亲身参与该计划教师实验室的神经科学研究；（ii）提供数学和计算工具以及神经科学的良好工作知识；（iii）作为跨学科研究团队的成员，与来自CNS和CIMS的共同顾问进行研究；（iv）在学年期间每周召开工作组会议，讨论正在进行的研究、理论问题和技术，作为桥梁数学和神经科学两种文化的工具；(v)位于CNS和CIMS内的优良计算设施；在新的纽约大学脑成像中心和联合实验室配备最先进的脑成像设备。

DESCRIPTION (provided by applicant): This is a competing renewal application for an Institutional Training Grant to support post-doctoral training in Computational Visual Neuroscience at the Center for Neural Science (CNS) and the Courant Institute for Mathematical Sciences (CIMS) at the Washington Square campus of New York University. The first funding period for this grant began in September 2001. Since inception this training grant has provided postdoctoral training in computational visual neuroscience at the Center for Neural Science (CNS) and the Courant Institute for Mathematical Sciences (CIMS) of New York University. We have trained junior scientists with backgrounds in the mathematical, computational, and physical sciences for research careers in visual neuroscience. This program is for postdoctoral fellows with appointments in CNS who will have research or thesis projects, respectively, under joint co-supervision by faculty members in CNS and CIMS. We will emphasize the bi-directional interaction between large-scale mathematical modeling and neurobiological experimentation, for instance the application of modern techniques for brain imaging (fMRI, optical imaging, electrical source imaging, and multi-unit recording). The Training Program will be founded upon our extensive experience at CNS and CIMS in interdisciplinary research and training. Special Features of the Program include: (i) hands on exposure to neuroscience research in laboratories of the Program's faculty; (ii) to provide a good working knowledge of mathematical and computational tools, and neuroscience; (iii) research experience as members of interdisciplinary research teams, with co-advisors from CNS and CIMS; (iv) weekly working group meetings during the academic year, to discuss ongoing research, theoretical issues, and techniques, as a vehicle for bridging the two cultures of mathematics and neuroscience; (v) excellent computational facilities located within CNS and CIMS; (vi) state-of-the-art brain imaging facilities in a new NYU Brain Imaging Center and in allied laboratories.