Software toolbox for analysis of neural spike train data

用于分析神经尖峰序列数据的软件工具箱

• 批准号: 7029405
• 负责人: CHARLOTTE Mason GRUNER
• 金额: $ 50.94万
• 依托单位: R.C. ELECTRONICS, INC.
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-04-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7029405
• 关键词: Internet; action potentials; computational neuroscience; computer data analysis; computer system design /evaluation; computer system hardware; educational resource design /development; method development; neural information processing; neurons; neurophysiology

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.

描述（由申请人提供）：项目概述：了解神经元，神经系统的专门细胞编码和处理信息仍然是神经科学家的主要目标。对神经密码的进一步理解将对神经科学和临床神经学产生巨大影响。现有的神经修复术将得到改进，新的神经修复术的大门将敞开。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是由于目前可用的计算工具的缺陷。R.C.电子公司提出了一种商业尖峰序列分析软件产品的研究和开发，该软件产品将为神经科学家提供一种先进的、先进的、单单元和多单元尖峰序列分析工具套件，该工具套件是可扩展的、标准化的、开放的和协作的。R.C.电子学建议实施标准的、完善的尖峰序列分析技术以及新颖的、更新的策略。该工具箱将内置在MATLAB中，便于用户扩展和算法共享。该项目的长期目标是生产一种产品，不仅提供高质量的加标分析能力，而且促进新方法的开发和方法比较的研究。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，包括旨在研究艾滋病毒感染后的大脑神经元功能的研究。 相关性：神经科学研究人员正在努力开发医疗应用程序，例如，允许一个人根据“阅读”神经元（神经系统的专门细胞）的电活动来控制计算机光标或机器人。基础研究涉及观察和分析数百个神经元的同时活动。该项目为这一研究领域提供了一套新的计算工具，用于此类数据和一个平台，促进计算工具的共享，以进一步推进这一重要的研究领域。