Open-Source Software for Studying Neural Codes

Robin A. A. Ince
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引用次数: 1

Abstract

In this chapter we first outline some of the popular computing environments used for analysing neural data, followed by a brief discussion of 'software carpentry', basic tools and skills from software engineering that can be of great use to computational scientists. We then introduce the concept of open-source software and explain some of its potential benefits for the academic community before giving a brief directory of some freely available open source software packages that address various aspects of the study of neural codes. While there are many commercial offerings that provide similar functionality, we concentrate here on open source packages, which in addition to being available free of charge, also have the source code available for study and modification.
研究神经代码的开源软件
在本章中,我们首先概述了一些用于分析神经数据的流行计算环境,然后简要讨论了“软件木工”,软件工程中的基本工具和技能,这些工具和技能对计算科学家来说非常有用。然后,我们介绍了开源软件的概念,并解释了它对学术界的一些潜在好处,然后给出了一些免费可用的开源软件包的简要目录,这些软件包解决了神经编码研究的各个方面。虽然有许多商业产品提供类似的功能,但我们在这里主要关注开源软件包,这些软件包除了免费提供外,还提供源代码供研究和修改。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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