Collaborative Research: A Comprehensive Approach to Birdsong Dynamics: Experiments and Modeling

协作研究：鸟鸣动力学的综合方法：实验和建模

• 批准号: 0905030
• 负责人: Daniel Margoliash
• 金额: $ 37.01万
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0905030&HistoricalAwards=false
• 关键词: Collaborative; Research; Comprehensive; Approach; Birdsong

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).Describing the action of the nervous system in quantitative terms is an important goal in neuroscience, but has been hampered by lack of appropriate techniques to describe the complex time-varying activity patterns of individual neurons. The activity patterns a given neuron expresses depend on the inputs to that neuron and the intrinsic properties of that neuron. A central limitation has been the inability to determine from data collected from real neurons the specific values of various conductances and other properties of those neurons that define their time-varying patterns of activity. To address this limitation, this project will combine real data derived from targeted experiments with modeling of those data to create a new synthesis. Data will be collected under controlled conditions from highly studied identified populations of neurons of the avian forebrain. The experimental procedures especially the structure and families of current pulses in those intracellular recordings will be tightly coordinated with a parallel effort to develop techniques to estimate the parameters of the recorded neurons. The goal of these combined experiments is to fully characterize the parameters of the neurons so as to describe the time-varying properties of the neurons. Success in this effort will be broadly applicable, providing a fundamental new approach to fully incorporating actual experimental data to characterize the activity properties of individual neurons. In the first instance, this will be applied to describing attributes of neuronal activity that are related to vocal production and learning and auditory memory phenomena. This project will also result in significant training opportunities. Biologists early in their careers will be trained in the emerging field of computational neuroscience. Young physicists and other quantitative scientists seeking new problems outside of their traditional disciplines will receive training in biological thinking and biological methods. These individuals will thus learn early in their careers a multidisciplinary approach to scientific problems that is the emerging paradigm for modern research.

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。定量描述神经系统的活动是神经科学的一个重要目标，但由于缺乏适当的技术来描述单个神经元复杂的时变活动模式而受到阻碍。给定神经元的活动模式取决于该神经元的输入和该神经元的内在特性。一个主要的限制是无法从从真实神经元收集的数据中确定各种电导的具体值和这些神经元的其他属性，这些属性定义了它们随时间变化的活动模式。为了解决这一限制，该项目将结合从目标实验中获得的真实数据与这些数据的建模来创建一个新的合成。数据将在受控条件下从高度研究的鸟类前脑神经元种群中收集。实验程序，特别是细胞内记录的电流脉冲的结构和家族，将与开发估计记录神经元参数的技术的平行努力紧密协调。这些联合实验的目标是充分表征神经元的参数，从而描述神经元的时变特性。这项工作的成功将广泛适用，为充分结合实际实验数据来表征单个神经元的活动特性提供了一种基本的新方法。首先，这将应用于描述与声音产生、学习和听觉记忆现象相关的神经元活动的属性。该项目还将带来重要的培训机会。生物学家在其职业生涯的早期将在计算神经科学的新兴领域进行培训。在传统学科之外寻求新问题的年轻物理学家和其他定量科学家将接受生物学思维和生物学方法方面的培训。因此，这些人将在职业生涯的早期就学会用多学科方法来解决科学问题，这是现代研究的新兴范式。