Software toolbox for analysis of neural spike train data

项目概述：了解神经元（神经系统的特化细胞）如何编码和处理信息仍然是神经科学家的主要目标。提高对神经密码的理解将对神经科学和临床神经学产生巨大的影响。现有的神经义肢将得到改进，并将为大量新的神经义肢打开大门。美国国立卫生研究院已经确定，在生物医学研究的许多领域取得进展的一个重大障碍可归因于目前可用的计算工具的缺陷。R.C. Electronics提出研究和开发导致商业尖峰序列分析软件产品，将为神经科学家提供一个复杂的，最先进的，单单元和多单元尖峰序列分析工具套件，可扩展，标准化，开放和协作。R.C.电子公司提出实施标准，完善的尖峰列车分析技术以及新颖，最近的策略。该工具箱将在MATLAB中构建，以便于用户增强和算法共享。该项目的长期目标是生产一种产品，不仅可以提供高质量的尖峰分析能力，还可以促进新方法的开发和方法比较研究。所提出的软件具有广泛的适用性神经科学研究生理学和病理生理学，包括研究旨在研究艾滋病毒感染后大脑的神经元功能。

DESCRIPTION (provided by applicant): Project Summary: Understanding how neurons, the specialized cells of the nervous system code and process information continues to be a major goal of neuroscientists. Improved understanding of the neural code will have a huge impact on both neuroscience and clinical neurology. Existing neural prosthetics will be improved and the door will open on a whole host of new neural prosthetics. The National Institutes of Health have identified that a significant roadblock to progress in many areas of biomedical research is attributable to deficiencies in currently available computational tools. R.C. Electronics proposes research and development leading to a commercial spike train analysis software product that will provide neuroscientists with a sophisticated, state-of-the-art, single-unit and multi-unit spike train analysis tool suite that is extendable, standardized, open and collaborative. R.C. Electronics proposes to implement both standard, well-established spike train analysis techniques as well as novel, more recent strategies. The toolbox will be built in MATLAB for easy user augmentation and algorithm sharing. The long-term goals of this project are to produce a product that will not only provide a high-quality spike analysis capability, but also facilitate the development of new methods and research into method comparisons. The proposed software has a broad applicability to neuroscience research both physiology and pathophysiology, including research aimed at studying the neuronal function of the brain following HIV infection. Relevance: Neuroscience researchers are working to develop medical applications that will allow a person, for example, to control a computer cursor or robot based on "reading" the electrical activity of neurons, the specialized cells of the nervous system. The basic research involves observing and analyzing the simultaneous activity of hundreds of neurons. This project offers this field of research a new set of computational tools for this kind of data and a platform that promotes sharing of computational tools to further advance this important field of research.