MULTICHANNEL NEURONAL DATA ARCHIVAL AND ANALYSIS

这项研究的长期目标是开发高性能的 用于多通道神经元波形采集的仪器， 数据分析 该计划建立在多通道神经元采集 处理器（MNAP）硬件平台，能够采集锋电位间期， 波形和其他定时数据，最多可支持64个通道。 的目的 建议是开发软件以扩展系统的能力。 具体而言，它提出：1）实现一个数据库系统的真实的 神经元时间序列数据的时间存储和快速检索; 2） 实现初始检索程序以查看和访问数据时段 通过各种标准来选择，例如时间戳，信道， 外部事件、试验、参数范围等;以及3）实施 初始数据分析和显示程序套件，包括 传统的单通道尖峰分析、跨通道分析， 将选定的数据导出到标准的第三方图形，统计， 和电子表格程序。 总体目标是开发MNAP系统 将建筑转化为一种适应性强的研究工具， 需要大规模多通道采集的神经科学家， 分析资源。

The long term objective of this research is to develop high performance instrumentation for multiple channel neuronal waveform acquisition and data analysis. This plan builds on the Multichannel Neuronal Acquisition Processor (MNAP) hardware platform capable of acquiring spike intervals, waveforms and other timing data from up to 64 channels. The aim of this proposal is to develop software to extend the capabilities of the system. Specifically it is proposed to: 1) implement a database system for real time storage and rapid retrieval of neuronal time series data; 2) implement an initial retrieval program to view and access periods of data selected by a variety of criteria, such as time stamps, channels, external events, trials, parameter ranges, etc.; and 3) implement an initial suite of data analysis and display procedures including traditional single channel spike analysis, cross-channel analysis, and export of selected data to standard third party graphical, statistical, and spreadsheet programs. The overall goal is to develop the MNAP system architecture into an adaptable research tool that can meet the needs of neuroscientists requiring large scale multichannel acquisition and analysis resources.