NETWORK DATA ACQUISITION SYSTEM FOR NEUROSCIENCE

神经科学网络数据采集系统

• 批准号: 6022025
• 负责人: CHAO-SUN E PANG
• 金额: $ 13.15万
• 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: 1999-09-15 至 2000-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6022025
• 关键词: computational neuroscience; computer network; computer system design /evaluation; data collection methodology /evaluation

The current trend in neuroscience research is to determine how large populations of information processing neurons relate to behavior. Sensor and electrode technology makes it possible to access large numbers (>100) of neurons. Researchers need to collect data from these sensors and to process the data on-line as a critical next step for understanding more complex neural network interactions. Technology needs to be developed for a scalable system that can simultaneously record data and process data on the fly for real time interactive management and control of the system under study. To address the need for such a large number of channels, R.C. Electronics Inc. plans to modify its existing recorder to provide time synchronization capability between multiple recorders and a high speed network based communication port for interfacing to other signal processing systems. In addition, the availability of NDAS would make multichannel data widely available to researchers through the high speed internet. PROPOSED COMMERCIAL APPLICATIONS: There is a market demand for high frequency multichannel Network Data Acquisition Systems in the computational neuroscience market as a research and teaching tool. There exists an aerospace, industrial, and military market in acoustic, vibration, shock, and sonar where high frequency multichannel recording and processing requires 500 or more channels.

神经科学研究的当前趋势是确定大量信息处理神经元与行为的关系。 传感器和电极技术使得访问大量（>100）神经元成为可能。 研究人员需要从这些传感器收集数据并在线处理数据，这是理解更复杂的神经网络交互的关键下一步。 需要开发可扩展系统的技术，该系统可以同时记录数据和动态处理数据，以便对所研究的系统进行实时交互式管理和控制。为了满足如此大量通道的需求，R.C. Electronics Inc. 计划修改其现有记录器，以提供多个记录器之间的时间同步功能以及用于与其他信号处理系统连接的基于高速网络的通信端口。 此外，NDAS 的可用性将使研究人员可以通过高速互联网广泛获得多渠道数据。拟议的商业应用：计算神经科学市场对高频多通道网络数据采集系统作为研究和教学工具有市场需求。 声学、振动、冲击和声纳领域存在航空航天、工业和军事市场，其中高频多通道记录和处理需要 500 个或更多通道。