Berkeley Course on Mining and Modeling of Neuroscience Data

 描述(由申请者提供)：本提案旨在管理并进一步发展在加州大学伯克利分校举办的名为“神经科学数据的挖掘和建模”的为期两周的暑期培训课程。这门课程教授分析神经生理学数据的方法，即随着时间的推移，与行为或刺激共同登记的神经活动的测量。随着奥巴马大脑计划的全面展开，丰富的神经生理学数据将以较高的速度获得。该课程的目标是帮助建立一支利用这些数据的劳动力队伍，旨在填补 神经科学和计算方法(计算机科学、数学、统计学、物理学、工程学)的交叉。具体地说，课程的参与者将是对神经科学有量化背景和兴趣的个人，或者希望学习神经科学数据分析的尖端方法的神经科学背景的个人。为了招收计算机科学和数学专业的学生，该项目与西蒙斯计算理论研究所和数学科学研究所合作。本课程提供的培训将有助于增加能够应用现有的和开发新的方法来分析和建模大型、复杂的神经生理学数据集的研究人员。增加神经科学中这类定量知识将对增强对大脑的了解和开发治疗大脑疾病的方法至关重要。

 DESCRIPTION (provided by applicant): This proposal is to administer and further develop a successfully established two-week summer training course titled "Mining and Modeling of Neuroscience Data" which is held at UC Berkeley. The course teaches methods for analyzing neurophysiology data, that is, measurements of the neural activity over time, co-registered with behavior or stimuli. With the Obama BRAIN initiative in full swing, rich neurophysiology data will become available at a high rate. The course has the goal to help build a workforce for leveraging these data and is designed to fill in a significant gap in training opportunities in the intersection between neuroscience and computational methods (computer science, mathematics, statistics, physics, engineering). Specifically, attendees of the course will be individuals either with a quantitative background and interest in neuroscience or with a background in neuroscience who wish to learn cutting edge approaches for the analysis of neuroscience data. To recruit students from Computer Science and Mathematics the project is partnered with the Simons Institute of the Theory of Computing and the Mathematical Sciences Research Institute. The training provided by this course will help increase the pool of researches who can apply existing and develop novel methodology for analyzing and modeling large, complex neurophysiology data sets. Increasing this type of quantitative knowledge in neuroscience will be essential to enhancing the understanding of the brain and developing approaches to treat disorders of the brain.