Multiunit, multielectrode spike sorting software

描述(申请人提供)：多个细胞外电极可以共同用于记录神经群体的活动，阐明神经元编码、处理、学习和保持信息的复杂过程。因为有证据表明，信息编码涉及一组神经元的协调活动，因此对整个神经群体的同时记录对于理解编码是必要的。然而，在由此产生的复杂数据记录中，单独的神经信号往往很难区分。因此，大多数收集多电极数据的研究人员还必须开发他们自己的数据处理软件，以确定从记录的神经群体中出现动作电位的时间，或称“棘波”，这一过程被称为“棘波分类”。 该项目的目标是开发用于多通道、多电极的尖峰分类的MATLAB软件工具箱，该工具箱整合了各种尖峰分类解决方案，并结合了使用高级信号处理技术的最先进的算法。这将是第一个为两个主要的穗分类困难提供有效解决方案的商业软件包：穗重叠的识别和识别，以及穗分类准确性的量化。此外，该产品将是开源的，允许用户轻松添加或修改模块，并促进算法比较和调查人员之间的共享。

DESCRIPTION (provided by applicant): Multiple extracellular electrodes can be used in concert to record the activity of a neural population, elucidating the complex process by which neurons code, process, learn, and retain information. Because evidence suggests that information coding involves coordinated activity of groups of neurons, such simultaneous recordings of whole neural populations are necessary for understanding coding. However, in the complex data records that result, individual neural signals are often difficult to distinguish. As a result, most researchers who collect multielectrode data must also develop their own data-processing software to determine the time-of-occurrence of action potentials, or "spikes" from the recorded neural population, a process known as "spike-sorting." The objective of this project is to develop MATLAB software toolbox for multichannel, multielectrode spike sorting that consolidates a variety of spike-sorting solutions and that incorporates state-of-the-art algorithms using advanced signal processing techniques. This will be the first commercial software package to offer effective solutions to two major spike-sorting difficulties: discrimination and identification of spike superpositions, and quantification of spike-sorting accuracy. In addition, the product will be open-source to allow users to easily add or modify modules and promote algorithm comparisons and sharing between investigators.