TRAINING IN METHODS OF COMPUTATIONAL NEUROSCIENCE

计算神经科学方法培训

• 批准号: 6650705
• 负责人: ELIEZAR A DAWIDOWICZ
• 金额: $ 12.99万
• 依托单位: MARINE BIOLOGICAL LABORATORY
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-08-22 至 2005-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6650705
• 关键词: computational neuroscience; mathematics; science education; training

The goal of the Methods in Computational Neuroscience Course at the Marine Biological Laboratory is to train 22 advanced students and post-doctoral fellows a year in the fundamental intellectual issues in computational neuroscience and to avail them with analytical and numerical tools to assist in their studies. The course has unique features that would be hard if not impossible to replicate in a university setting. First, it continues to attract and educate students from a broad range of established disciplines that impact upon neuroscience, including biology, cognitive science, computer science, engineering, mathematics and physics. Secondly, as a means to provide a coherent and relatively complete perspective on the growing field of computational neuroscience, students are exposed to a large visiting faculty in addition to receiving instruction and guidance from directors, scholars-in-residence and course assistants. It is unlikely that such a combination of faculty could be convened for an analogous course in a university setting. Lastly, the course provides students with access to state-of-the-art computational techniques and computer hardware fundamental to simulating neural systems from the detailed cellular through more abstracts systems level. The course is organized as an intensive four week lecture and laboratory series. The lectures progress along an increasing scale of computational complexity. They initially focus on the electrophysiology and chemical dynamics of individual neurons and synapses. This is followed by lectures on the dynamics and plasticity of local neuronal circuits and small nervous systems, topics that illustrate how single-cell properties shape computations by small networks. A final series of lectures addresses computations that involve sensory and perceptual issues in large neuronal systems, particularly cortex, and the emerging application of abstract models to provide a framework for understand these systems. The laboratory emphasizes the spectrum of tools necessary for successful research in computational neuroscience. On the one hand, the course provides training with general purpose simulation software as well as with simulation software that is specific to single cell dynamics, or to both single cells and large networks. On the other hand, students are trained in areas of applied mathematics, such as probability theory and matrix algebra, that are essential to formulating and solving problems in the field.

海洋生物实验室的计算神经科学方法课程的目标是每年培训22名高级学生和博士后研究员，了解计算神经科学的基本智力问题，并利用分析和数值工具帮助他们的学习。这门课程具有独特的特点，即使不是不可能在大学环境中复制，也是很难复制的。首先，它继续吸引和教育对神经科学产生影响的广泛现有学科的学生，包括生物学、认知科学、计算机科学、工程学、数学和物理学。其次，为了对不断增长的计算神经科学领域提供一个连贯和相对完整的视角，除了接受董事、常驻学者和课程助理的指导和指导外，学生还可以接触到大量的访问教职员工。在大学开设类似的课程时，不太可能召集如此多的教员。最后，本课程为学生提供从详细的细胞到更抽象的系统层面模拟神经系统的最先进的计算技术和计算机硬件基础。本课程以为期四周的强化讲座和系列实验的形式组织。随着计算复杂性的增加，这些课程也在不断进步。他们最初专注于单个神经元和突触的电生理学和化学动力学。然后是关于局部神经元电路和小型神经系统的动力学和可塑性的讲座，这些主题说明了单细胞属性如何塑造小型网络的计算。最后一系列讲座涉及大型神经系统中的感觉和知觉问题的计算，特别是皮质，以及抽象模型的新兴应用，以提供理解这些系统的框架。该实验室强调成功研究计算神经科学所需的各种工具。一方面，本课程提供通用模拟软件以及专门针对单细胞动力学或单细胞和大型网络的模拟软件的培训。另一方面，学生接受应用数学领域的培训，如概率论和矩阵代数，这些领域对于阐述和解决该领域的问题至关重要。