MASSIVE ACQUISITION AND ANALYSIS SYSTEM

大规模采集和分析系统

• 批准号: 6292726
• 负责人: RICHARD E RENCK
• 金额: $ 38.63万
• 依托单位: R.C. ELECTRONICS, INC.
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-06-15 至 2003-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6292726
• 关键词: bioimaging /biomedical imaging; biomedical equipment development; computer data analysis; electronic recording system; electrophysiology; microelectrodes; neural conduction; neurophysiology; neurosciences; parallel processing; technology /technique development

DESCRIPTION(adapted from applicant's abstract): Neuroscience researchers wish to understand the nature of the processing tasks executed within different areas of the nervous system, the codes by which information is represented during the execution of these tasks, and the nature of the neural machinery with which computational algorithms are executed. However, there are major technological problems blocking progress. One major hurdle is the ability to record from hundreds to thousands of neurons simultaneously at high acquisition rates for long durations. A second hurdle is that researchers need to analyze the massive data streams "on the fly" to enable real-time interactive management and control of the systems under study. R. C. Electronics proposes to develop instrumentation to satisfy these requirements and plans to develop a Massive Acquisition and Analysis System (MAAS). Unlike current data acquisition systems that are difficult to scale up to hundreds or thousands of channels, MAAS will take advantage of commercially available network technology to collect and transfer multi-channel high speed data at a 500+ Mbits/sec aggregate rate to a distributed processing system for real-time analysis. The system will also take advantage of using standard network protocol to deliver the data to remote researchers for "Tele-Research" applications. PROPOSED COMMERCIAL APPLICATION: Not Available

描述(摘自申请者的摘要)：神经科学研究人员希望 要了解在不同环境中执行的处理任务的性质 神经系统的区域，代表信息的代码 在执行这些任务的过程中，以及神经机械的性质 用来执行计算算法的。然而，有一些主要的 阻碍进步的技术问题。一个主要的障碍是能否 以高获得率同时记录数百到数千个神经元 较长期限的费率。第二个障碍是研究人员需要分析 海量数据流可实现实时交互 正在研究的系统的管理和控制。R.C.电子公司提议 开发仪器以满足这些要求，并计划开发一种 海量采集分析系统(MAAS)。与当前的数据采集不同 难以扩展到数百或数千个通道的系统， MAAS将利用商业上可用的网络技术 以500+Mbit/s的速度采集和传输多通道高速数据 将聚合速率传输到分布式处理系统以进行实时分析。这个 系统还将利用标准网络协议来提供 这些数据被提供给远程研究人员，用于“远程研究”应用。 建议的商业应用： 不可用