MULTICHANNEL SENSORY NEUROPHYSIOLOGY SYSTEM

描述（申请人摘要）：本提案的目标是 为多通道数据采集和刺激开发工作框架 单单元神经生理学演示包。在第一阶段，我们将 开发能够区分动作电位的尖峰分类算法 每个电极上有多个神经元， 通道，以提高算法的区分能力。实时 歧视将消除对来自高水平的数据进行后处理的需要。 通道计数系统，提高实验决策能力 在实验过程中。我们还将开发一个图形显示 和界面设计，以压缩固有的复杂数据集， 从多个电极上的多个单单元同时采集， 刺激参数刺激控制与多通道相结合 收购将同样改善数据可视化。 拟定商业应用： 本计画旨在测试发展高通道数系统之可行性 用于神经生理学研究 该产品的商业应用最直接 用于多通道神经生理学的科研市场。 它可以被改编成 用于需要高通道数的其他临床系统，例如EEG系统。

DESCRIPTION (Applicant's abstract): The goal of this proposal is to develop a working framework for a multichannel data acquisition and stimulus presentation package for single-unit neurophysiology. In Phase I we will develop spike-sorting algorithms capable of discriminating action potentials from multiple neurons per each electrode, incorporating information across channels to improve the discrimination ability of the algorithm. Real-time discrimination would obviate the need for post-processing the data from high channel count systems, improving the ability to make experimental decisions during the course of the experiment. We will also develop a graphical display and interface designed to condense the inherently complex data sets that are acquired simultaneously from many single-units across many electrodes and stimulus parameters. The combination of stimulus control with multichannel acquisition will similarly improve data visualization. PROPOSED COMMERCIAL APPLICATION: The proposed project is to test the feasibility of developing a high channel count system for neurophysiology research. The commercial application of this product is most directly for the scientific research market in multichannel neurophysiology. It could be adapted for other clinical systems that require high channel counts, such as EEG systems.