A method for selecting the bin size of a time histogram
A method for selecting the bin size of a time histogram
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DOI：
10.1162/neco.2007.19.6.1503
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发表时间：
2007-06-01
影响因子：
2.9
通讯作者：
Shinomoto, Shigeru
中科院分区：
文献类型：
--
作者：
Shimazaki, Hideaki;Shinomoto, Shigeru
时间直方图方法是捕获神经元尖峰时间依赖性速率的最基本工具。一般来说，在神经生理学文献中，关键决定时间直方图与潜在尖峰率的拟合优度的箱大小是由个别研究人员主观选择的。在这里，我们提出了一种仅从尖峰计数统计数据中客观选择箱大小的方法，以便生成的条形图或线图时间直方图最好地代表未知的潜在尖峰率。对于从适度波动的速率生成的少量尖峰序列，最佳箱大小可能会发散，表明任何时间直方图都可能捕获虚假速率。鉴于数据缺乏，这里提出的方法仍然可以建议应该添加多少实验试验才能获得具有所需精度的有意义的时间相关直方图。
The time histogram method is the most basic tool for capturing a time-dependent rate of neuronal spikes. Generally in the neurophysiological literature, the bin size that critically determines the goodness of the fit of the time histogram to the underlying spike rate has been subjectively selected by individual researchers. Here, we propose a method for objectively selecting the bin size from the spike count statistics alone, so that the resulting bar or line graph time histogram best represents the unknown underlying spike rate. For a small number of spike sequences generated from a modestly fluctuating rate, the optimal bin size may diverge, indicating that any time histogram is likely to capture a spurious rate. Given a paucity of data, the method presented here can nevertheless suggest how many experimental trials should be added in order to obtain a meaningful time-dependent histogram with the required accuracy.