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Automatic objective thresholding to detect neuronal action potentials

机译:自动客观阈值检测神经元动作电位

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In this paper, we introduce a fully objective method to set thresholds (THs) for neuronal action potential spike detection from extracellular field potential signals. Although several more sophisticated methods exist, thresholding is still the most used spike detection method. In general, it is employed by setting a TH as per convention or operator decision, and without considering either the undetected or spurious spikes. Here, we demonstrate with both simulations and real microelectrode measurement data that our method can fully automatically and objectively yield THs comparable to those set by an expert operator. A Matlab function implementation of the method is described, and provided freely in Matlab Central File Exchange.
机译:在本文中,我们介绍了一种完全客观的方法来设置阈值(THs),用于从细胞外场电势信号中检测神经元动作电势尖峰。尽管存在几种更复杂的方法,但阈值化仍然是最常用的尖峰检测方法。通常,通过根据惯例或操作员的决定设置TH来使用它,而不考虑未检测到的或虚假的尖峰。在这里,我们通过仿真和真实的微电极测量数据证明,我们的方法可以完全自动,客观地产生可与专家操作员设定的TH相媲美的TH。描述了该方法的Matlab函数实现,并在Matlab中央文件交换中免费提供。

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