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首页> 外文期刊>Journal of Computational Neuroscience >Beyond Two-Cell Networks: Experimental Measurement of Neuronal Responses to Multiple Synaptic Inputs
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Beyond Two-Cell Networks: Experimental Measurement of Neuronal Responses to Multiple Synaptic Inputs

机译：超越两细胞网络：对多个突触输入的神经元反应的实验测量。

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Oscillations of large populations of neurons are thought to be important in the normal functioning of the brain. We have used phase response curve (PRC) methods to characterize the dynamics of single neurons and predict population dynamics. Our past experimental work was limited to special circumstances (e.g., 2-cell networks of periodically firing neurons). Here, we explore the feasibility of extending our methods to predict the synchronization properties of stellate cells (SCs) in the rat entorhinal cortex under broader conditions. In particular, we test the hypothesis that PRCs in SCs scale linearly with changes in synaptic amplitude, and measure how well responses to Poisson process-driven inputs can be predicted in terms of PRCs. Although we see nonlinear responses to excitatory and inhibitory inputs, we find that models based on weak coupling account for scaling and Poisson process-driven inputs reasonably accurately.
机译：大量神经元的振荡被认为对大脑的正常功能很重要。我们已经使用相位响应曲线（PRC）方法来表征单个神经元的动态并预测种群动态。我们过去的实验工作仅限于特殊情况（例如，周期性触发神经元的2细胞网络）。在这里，我们探讨了扩展我们的方法来预测大鼠内嗅皮层中星状细胞（SCs）在更宽泛条件下的同步特性的可行性。特别是，我们检验了SC的PRCs随突触幅度的变化而线性缩放的假设，并测量了根据PRCs预测对泊松过程驱动输入的响应的程度。尽管我们看到了对兴奋性和抑制性输入的非线性响应，但我们发现基于弱耦合的模型可以合理地准确地解释缩放和泊松过程驱动的输入。

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