Mechanisms of temporal selectivity in the anuran auditory midbrain

信号的时间结构在通信中起着重要的作用。建议的项目 目的为中脑神经元如何选择性地对特定的颞叶做出反应提供新的见解 通信声音的特征，特别是脉率和持续时间。实验将会 研究NMDA型受体在放大反应和增强颞叶中的作用 选择性。其他实验将是第一次探索来自 外侧丘系至下丘的核在产生时间选择性中的作用。 焦点药理操作将与全细胞内记录相结合。我们 还建议使用新的计算方法来描绘兴奋性和 抑制电导。这种新颖而强大的方法论方法直到最近才 应用于中枢听觉系统的活体研究(Rose等人，2013)，并持有 承诺让听觉系统研究人员以及整个神经科学界， 以获得对大脑计算基础机制的前所未有的洞察力。这 还将使用该方法来研究抑制的动态属性的作用，从而 评价一种新的区间选择性模型。最后一组实验将调查IC是否 不同时间选择性类别的神经元选择性地对特定的自然呼唤做出反应 豹蛙。这些新的实验有望加深我们对网络的理解 以及构成中脑神经元时间选择性的细胞特性。

The temporal structure of signals plays important roles in communication. The proposed projects aim to provide new insight into how midbrain neurons respond selectively to particular temporal features of communication sounds, specifically pulse rate and duration. Experiments will investigate the role of NMDA-type receptors in amplifying responses and augmenting temporal selectivity. Other experiments will be the first to explore the role of projections from the nucleus of the lateral lemniscus to the inferior colliculus in generating temporal selectivity. Focal pharmacological manipulations will be combined with whole-cell intracellular recordings. We also propose to use new computational methodology to delineate the time course of excitatory and inhibitory conductances. This novel and powerful methodological approach has only recently been applied to the in vivo study of central auditory systems (Rose et al., 2013), and holds great promise for enabling auditory system researchers, as well as the neuroscience community at large, to gain unprecedented insight into the mechanisms that underlie computations in the brain. This approach will also be used to investigate the roles of dynamic properties of inhibition, and thereby evaluate a new model of interval selectivity. The last set of experiments will investigate whether IC neurons of the various temporal selectivity classes respond selectively to particular natural calls of leopard frogs. These new experiments are expected to further our understanding of the network and cellular properties that underlie the temporal selectivity of midbrain neurons.