Imaging Study of Single Neuron Computation in Leech

水蛭单神经元计算的成像研究

• 批准号: 9604799
• 负责人: Ralf Wessel
• 金额: $ 30万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-03-01 至 2000-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9604799&HistoricalAwards=false
• 关键词: Imaging; Study; Single; Neuron; Computation

9604799 Wessel How do biophysical neuronal mechanisms interact to achieve the computations required for proper function of neural circuits? Largely due to recent advances in optical imaging of neuronal activity we now believe that the single neuron is far more complex and dynamic than previously known from single electrode studies. A combination of electrode recording and optical imaging methods on the nervous system of he leech has been developed recently. This combination of methods will be used to investigate the integration of synaptic inputs in the dendrites of single neurons. The following specific questions will be asked: (1) What is the cellular basis of a non-linear response to sensory synaptic inputs ? (2) Do portions of a neuron act as relatively independent functional units ? The leech offers spatially extended neurons with evidence, from past work, for non- trivial processing. The established neuronal circuitry and anatomically localized connections between identifiable neurons in the leech are particularly advantageous in the study of single neuron computation. It is thus possible to stimulate one or more identified cells presynaptic to the cell under study, and monitor the dynamic interaction of postsynaptic potentials along neuronal processes. In addition, due to the small number of neurons in the leech ganglion, single neuron computation can be understood within the network context. The proposed project will extend our understanding of neuronal computation from the level of biophysical mechanisms of single neurons to the collective computation of a small neuronal network that produces behavior. Since the results focus on the properties of single nerve cells, they will likely generalize to all species, including humans.

小行星9604799 生物物理神经元机制如何相互作用，以实现神经回路正常功能所需的计算？主要是由于神经元活动的光学成像的最新进展，我们现在相信，单个神经元是远远更复杂和动态比以前已知的单电极研究。近年来，我们发展了一种电极记录和光学成像相结合的方法来研究水蛭的神经系统。这种方法的组合将被用来研究单个神经元树突中突触输入的整合。将提出以下具体问题：（1）对感觉突触输入的非线性反应的细胞基础是什么？ (2)神经元的各个部分是否作为相对独立的功能单位发挥作用？水蛭提供了空间延伸的神经元的证据，从过去的工作，为非平凡的处理。水蛭中已建立的神经元回路和可识别神经元之间的解剖学定位连接在单神经元计算的研究中特别有利。因此，有可能刺激一个或多个识别的细胞突触前到所研究的细胞，并监测突触后电位沿着神经元过程的动态相互作用。此外，由于水蛭神经节中的神经元数量很少，因此可以在网络上下文中理解单神经元计算。该项目将把我们对神经元计算的理解从单个神经元的生物物理机制扩展到产生行为的小神经元网络的集体计算。由于这些结果集中在单个神经细胞的特性上，因此它们可能会推广到包括人类在内的所有物种。