COMPUTATIONAL VISUAL NEUROSCIENCE TRAINING PROGRAM

计算视觉神经科学培训计划

• 批准号: 7936876
• 负责人: ROBERT M SHAPLEY
• 金额: $ 15.84万
• 依托单位: NEW YORK UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-30 至 2011-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7936876
• 关键词: Training Programs; visual neuroscience

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.

描述（由申请人提供）：这是一个竞争性的机构培训补助金的续期申请，以支持在纽约大学华盛顿广场校区的神经科学中心（CNS）和柯朗数学科学研究所（CIMS）的计算视觉神经科学博士后培训。这项赠款的第一个供资期于2001年9月开始。自成立以来，该培训补助金已在纽约大学神经科学中心（CNS）和柯朗数学科学研究所（CIMS）提供计算视觉神经科学方面的博士后培训。我们已经培训了具有数学，计算和物理科学背景的初级科学家，以从事视觉神经科学的研究。该计划是为博士后研究员与CNS任命谁将有研究或论文项目，分别由CNS和CIMS的教师联合共同监督下。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（功能磁共振成像，光学成像，电源成像和多单元记录）的应用。该培训计划将建立在我们在CNS和CIMS的跨学科研究和培训的丰富经验。该计划的特点包括：（i）在该计划的教师实验室接触神经科学研究;（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成员的研究经验，与CNS和CIMS的共同顾问;（iv）在学年期间每周举行工作组会议，讨论正在进行的研究、理论问题和技术，作为沟通数学和神经科学两种文化的工具;（v）位于中枢神经系统和计算机集成制造系统内的出色的计算设施;（vi）纽约大学新的脑成像中心和相关实验室内的最先进的脑成像设施。

项目成果

Optimizing the decoding of movement goals from local field potentials in macaque cortex.

• DOI: 10.1523/jneurosci.4165-11.2011
• 发表时间: 2011-12-14
• 期刊: The Journal of neuroscience : the official journal of the Society for Neuroscience
• 作者: Markowitz DA;Wong YT;Gray CM;Pesaran B
• 通讯作者: Pesaran B

An embedded network approach for scale-up of fluctuation-driven systems with preservation of spike information.

一种嵌入式网络方法，用于扩展波动驱动系统并保留尖峰信息。

• DOI: 10.1073/pnas.0404062101
• 发表时间: 2004
• 期刊: Proceedings of the National Academy of Sciences of the United States of America.
• 作者: Cai,David;Tao,Louis;McLaughlin,DavidW
• 通讯作者: McLaughlin,DavidW