COMPLEX SYSTEMS SUMMER SCHOOL

描述(改编自申请人的摘要)：本报告的目的 培训补助金用于支持举办复杂系统暑期学校 在新墨西哥州的圣达菲。暑期学校的目标是提供一个 数学、物理和数学中的“复杂”行为研究导论 生命系统作为跨学科努力的一部分，以促进 对复杂系统的理解。在每所学校，都有一套讲座和 研讨会由不同领域的领先研究人员提供，由他们的 使用复杂系统分析。目前的培训补助金是在 假设神经科学的学生将从接触一种 不同的科学家使用动力系统方法来研究他们的 具体的研究兴趣。为了执行这项任务，我们确定 这所学校录取的学生中有相当一部分有 对神经科学、生物学和神经网络研究感兴趣。这所学校 它本身是根据前几年的经验而演变的，而且 学生提供的评价。我们将继续使用一项功能 旨在帮助学生从整个主题范围中受益-一套 开学时的教程为学生提供了一个基本的“工具包” 在进化、计算、动力系统理论和混沌等领域， 无序系统、信息论、神经网络和神经科学。两个新的 近年来增加了一些功能：首先，将学生组织成 在第一周，研究小组对各种主题进行研究。这些团体相遇 在整个月内定期计划和执行计算 在可能的情况下进行项目。在最后一周，小组做报告。第二，我们有 在讲师的选择上引入了一些主题结构。每周两次 将提供相关的系列讲座，并在 每个下午。我们对学校的长期目标是提供一个框架 在其中，神经生物学家和其他人可以相互学习，并可以 受益于在不同研究领域首创的方法和技术 复杂性。

DESCRIPTION (Adapted from the Applicant's Abstract): The purpose of the present training grant is to support the holding of the Complex Systems Summer School in Santa Fe, New Mexico. The goal of the Summer School is to provide an introduction to the study of "complex" behavior in mathematical, physical and living systems as part of an interdisciplinary effort to promote the understanding of complex systems. At each school, a set of lectures and seminars is provided by leading researchers in diverse fields unified by their use of complex systems analysis. The present training grant was awarded on the assumption that students in the neurosciences would benefit from exposure to a diverse set of scientists using dynamical systems methods in approaching their specific research interests. In order to carry out this mandate we make certain that a significant proportion of the students admitted to the School have an interest in neuroscience, biology and neural networks research. The school itself evolves in response to the experiences of the previous years, and evaluations provided by the students. We will continue to employ a feature designed to help students benefit from the entire range of topics - a set of tutorials at the start of the school to provide students with a basic "toolkit" in areas such as evolution, computation, dynamical systems theory and chaos, disordered systems, information theory, neural nets, and neuroscience. Two new features have been added in recent years: first, students are organized into research groups on a variety of topics in the first week. These groups meet regularly throughout the month, planning and carrying out computational projects when possible. In the final week groups make reports. Second, we have introduced some thematic structure to the choice of lecturers. Each week two related lecture series will be offered, with related seminars in the afternoons. Our long-term goals for the school are to provide a framework within which neurobiologists, and others, can learn from each other, and can benefit from methods and techniques pioneered in diverse fields of study of complexity.