Two-Dimensional Imaging of Network Activity in the Brain

大脑网络活动的二维成像

• 批准号: 9419247
• 负责人: Gyorgy Buzsaki
• 金额: $ 12万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-09-01 至 1998-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9419247&HistoricalAwards=false
• 关键词: Two; Dimensional; Imaging; Network; Activity

9419247 Buzsaki The behavior of organisms is controlled by electrical signaling in large populations of brain cells. One of the great technical challenges for brain scientists is to describe the electrical activity of neuronal populations in a way that is related to behavior. With this award, a team comprised of a neuroscientist, a mathematician and an engineer, and headed by Dr. Gyorgy Buzsaki, will construct a system for monitoring the signals produced by large numbers of brain cells recorded from animals while they are engaged in bouts of behavior. The team will test their methods by recording, analyzing and displaying the signals of cells within the hippocampus, a structure believed to be essential for certain types of learning. This work should have broad impact on the methods used in future research by both experimental and theoretical neuroscientists in the attempt to understand the neural control of behavior.

9419247 Buzsaki生物体的行为由大量脑细胞中的电信号控制。对于脑科学家来说，最大的技术挑战之一是用一种与行为相关的方式来描述神经元群体的电活动。有了这个奖项，一个由一名神经学家、一名数学家和一名工程师组成、由Gyorgy Buzsaki博士领导的团队将构建一个系统，用于监测动物在进行一系列行为时记录的大量脑细胞产生的信号。该团队将通过记录、分析和显示海马体内细胞的信号来测试他们的方法，海马体是一种被认为对某些类型的学习至关重要的结构。这项工作应该会对实验和理论神经学家在未来的研究中使用的方法产生广泛的影响，以试图理解行为的神经控制。