Role of dendritic conductances on the neuronal output

树突电导对神经元输出的作用

• 批准号: 6644148
• 负责人: Hysell Viviana Oviedo
• 金额: $ 2.85万
• 依托单位: NEW YORK UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/6644148
• 关键词: action potentials; biological information processing; brain; computer simulation; dendrites; electrophysiology; neural conduction; neurons; synapses; tissue /cell preparation; voltage /patch clamp

DESCRIPTION (provided by applicant): The way in which a neuron transduces the population activity of its synaptic inputs into action potentials is a fundamental step in understanding information processing in the brain. Through the use of computer simulated synaptic inputs and in vitro slice electrophysiology we will examine three important factors that can affect the transformation of inputs to output. The first is the rate of dendriticconductances: is the cell's firing rate the same whether the inputs are injected in the dendrite or the soma? Will dendritic conductances that have been shown to boost individual, subthreshold, synaptic potentials also boost suprathreshold trains of synaptic inputs? A second influential factor is the location of the inputs relative to each other on the dendritic tree, which may determine how the inputs are combined. Passive cable theory predicts sublinear summation if the inputs occur on the same dendritic branch due to mutual shunt, and linear summation if they occur on different branches, but will active dendritic conductances counter sublinear summation? The third factor we will examine is the interaction between excitatory and inhibitory synaptic inputs on the dendritic tree. We will mainly focus on how the effects of inhibition on firing depend on where the inhibitory inputs are located relative to the excitatory. In all three cases we will use channel blockers to identifythe dendritic conductances responsible for the nonlinear effects we may see in the transduction from input to output.

描述（由申请人提供）： 神经元传递其突触的群体活动的方式 输入动作电位是理解 大脑中的信息处理通过使用计算机模拟 突触输入和体外切片电生理学，我们将研究三个 影响投入转化为产出的重要因素。的 首先是枝状电导率：细胞的放电率是否相同 输入是注入树突还是索马？威尔·树突 已经证明，电导可以提高个体、阈下、突触 电位也能促进突触输入的阈上序列？第二 影响因素是输入相对于彼此在 树状树，其可以确定如何组合输入。无源电缆 如果输入发生在同一树突上，理论预测次线性求和 由于相互分流而产生的分支，以及如果它们发生在不同的 分支，但将积极树突电导计数器次线性求和？ 我们要研究的第三个因素是兴奋性和兴奋性之间的相互作用。 抑制树突树上的突触输入。我们将主要关注如何 抑制对放电的影响取决于抑制性输入的位置 相对于兴奋性的。在这三种情况下，我们都将使用channel 阻断剂，以确定负责非线性 我们在从输入到输出的转换中可以看到的效果。