School of Biology, University of St Andrews, St Andrews, Fife, Scotland, UK.
J Neurosci Methods. 2009 Dec 15;185(1):151-64. doi: 10.1016/j.jneumeth.2009.09.009. Epub 2009 Sep 16.
This report describes an integrated software package, DataView, which contains a number of tools for analysing rhythmic neural activity. These include simple autocorrelation, a merge-and-drop filter, an enhanced version of the Poisson surprise method and a flexible hill-and-valley analysis tool. The package contains facilities for identifying, examining, and if appropriate, correcting, outliers arising from misidentification or rhythm abnormalities. The package has a full graphical user interface which provides flexible and rapid feedback on the progress of analysis, and the consequences of choices regarding parameters for the various tools. The user can thus easily experiment with different methodologies and tool settings, and tune the analysis to the most appropriate form for the data in question.
本报告描述了一个集成的软件包 DataView，其中包含了许多用于分析节律性神经活动的工具。这些工具包括简单自相关、合并和丢弃滤波器、泊松惊喜方法的增强版本以及灵活的峰谷分析工具。该软件包还包含用于识别、检查和（如果需要）纠正因错误识别或节律异常而产生的异常值的功能。该软件包具有完整的图形用户界面，可提供分析进度和各种工具参数选择的结果的灵活快速反馈。因此，用户可以轻松地尝试不同的方法和工具设置，并根据数据的特点调整分析方法。
