NEV2lkit: A NEW OPEN SOURCE TOOL FOR HANDLING NEURONAL EVENT FILES FROM MULTI-ELECTRODE RECORDINGS
NEV2lkit: A NEW OPEN SOURCE TOOL FOR HANDLING NEURONAL EVENT FILES FROM MULTI-ELECTRODE RECORDINGS
复制标题
DOI：
10.1142/s0129065714500099
复制
发表时间：
2014-06-01
影响因子：
8
通讯作者：
Fernandez, Eduardo
中科院分区：
文献类型：
--
作者：
Bongard, Markus;Micol, Daniel;Fernandez, Eduardo
动作电位的分析和识别是系统神经科学研究的核心问题。在这里，我们介绍了一个免费的开源软件的分析和歧视的神经尖峰基于主成分分析和不同的聚类算法。主要目标是提供一个友好的用户界面，将实验数据链接到一组基本例程，用于在一致的框架中分析，可视化和分类尖峰。该工具已在人工数据集上进行了测试，在离体灌流小鼠、兔和海龟视网膜中的神经节细胞群的多电极细胞外记录上进行了测试，并在小鼠视觉皮层的电生理记录上进行了测试。我们的研究结果表明，NEV2lkit是非常可靠的，能够满足实验的准确性，效率和一致性方面的实验要求。它在单个或多个实验中执行快速单元排序，并允许从连续记录的数据流中的大时间间隔中提取尖峰。该工具是用C++实现的，可以在Linux、OS X和Windows系统上跨平台运行。为了便于适应和扩展以及添加新的例程，工具和算法进行数据分析，源代码，不同操作系统的二进制分发和文档都可以在http://nev2lkit.sourceforge.net上免费获得。
The analysis and discrimination of action potentials, or "spikes", is a central issue to systems neuroscience research. Here we introduce a free open source software for the analysis and discrimination of neural spikes based on principal component analysis and different clustering algorithms. The main objective is to supply a friendly user interface that links the experimental data to a basic set of routines for analysis, visualization and classification of spikes in a consistent framework. The tool has been tested on artificial data sets, on multi-electrode extracellular recordings from ganglion cell populations in isolated superfused mouse, rabbit and turtle retinas, and on electrophysiological recordings from mouse visual cortex. Our results show that NEV2lkit is very reliable and able to satisfy the experimental demands in terms of accuracy, efficiency and consistency across experiments. It performs fast unit sorting in single or multiple experiments and allows the extraction of spikes from over large time intervals in continuously recorded data streams. The tool is implemented in C++ and runs cross-platform on Linux, OS X and Windows systems. To facilitate the adaptation and extension as well as the addition of new routines, tools and algorithms for data analysis, the source code, binary distributions for different operating systems and documentation are all freely available at http://nev2lkit.sourceforge.net.