MULTIUNIT, MULTIELECTRODE SPIKE-SORTING SOFTWARE

描述(摘自申请人的摘要)：使用多个电极 记录神经群体的活动是一项技术，已经表明 承诺从神经群体中获得尖峰数据。这些人口数据 显然需要进一步研究神经元是如何编码、处理、学习和 保留信息。对神经群体编码有更好的理解 广泛的临床益处，例如在微电子设备的设计中 例如人工耳蜗术和视网膜植入术。目前，大多数研究人员收集 多电极数据也被迫开发自己的软件来排序 记录的每个神经元的动作电位，确定 每个动作电位的相对发生时间，这一过程称为 “尖峰排序。”这项研究计划的长期目标是开发 用于自动多通道棘波分类的MatLab软件工具箱 使用先进的信号处理技术整合最先进的算法 技巧。第一阶段项目的目标是开发原型 使用MatLab环境的软件，它扩展了现有的工作并 采用了新的钉子排序方法。这将是第一个商业化的 能够有效解决重大问题的可用包 神经学家面临的问题：对Spike的辨别和识别 叠加法。 建议的商业应用： 有许多潜在的多通道尖峰分类软件的用户已经 获取多通道数据。进行多渠道研究的研究人员数量 显著增加，并将继续增加，随着计算机变得更快和 制得了性能较好的多电极。

DESCRIPTION (adapted from applicant's abstract): The use of multiple electrodes to record the activity of a neural populations is a technique that has shown promise in obtaining spike data from neural populations. This population data is clearly needed to further the study of how neurons code, process, learn, and retain information. Better understanding of neural population coding would have wide clinical benefits, for example, in the design of microelectronic devices such as cochlear and retinal implants. Currently, most researchers who collect multielectrode data are forced to also develop their own software to sort the recorded action potentials from each of the neurons recorded, determining the relative time-of-occurrence of each action potential, a process known as "spike-sorting." The long-term objective of this research program is to develop a MATLAB software toolbox for automated multichannel spike-sorting incorporating state-of-the-art algorithms using advanced signal processing techniques. The objective of the Phase I project is to develop prototype software using the MATLAB environment that expands existing work and incorporates new methods for spike sorting. This will be the first commercially available package that will allow the effective solution to a major problem facing neuroscientists: the discrimination and identification of spike superpositions. PROPOSED COMMERCIAL APPLICATION: There are many potential users of multichannel spike-sorting software who are already obtaining multichannel data. The number of researchers doing multi-channel studies has increased dramatically and will continue to increase as computer become faster and better multielectrodes are producted.