Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.
Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA; Neuroscience Program, Michigan State University, East Lansing, MI 48824, USA.
J Neurosci Methods. 2012 Feb 15;204(1):189-201. doi: 10.1016/j.jneumeth.2011.10.027. Epub 2011 Nov 10.
Analyzing the massive amounts of neural data collected using microelectrodes to extract biologically relevant information is a major challenge. Many scientific findings rest on the ability to overcome these challenges and to standardize experimental analysis across labs. This can be facilitated in part through comprehensive, efficient and practical software tools disseminated to the community at large. We have developed a comprehensive, MATLAB-based software package - entitled NeuroQuest - that bundles together a number of advanced neural signal processing algorithms in a user-friendly environment. Results demonstrate the efficiency and reliability of the software compared to other software packages, and versatility over a wide range of experimental conditions.
分析使用微电极收集的大量神经数据以提取生物学相关信息是一个主要挑战。许多科学发现依赖于克服这些挑战的能力，并在实验室之间实现实验分析的标准化。这在一定程度上可以通过向广大社区传播全面、高效和实用的软件工具来实现。我们开发了一个全面的、基于 MATLAB 的软件包 - 名为 NeuroQuest - 它将许多先进的神经信号处理算法整合在一个用户友好的环境中。结果表明，与其他软件包相比，该软件具有效率和可靠性，并且在广泛的实验条件下具有多功能性。
