Automated detection and analysis of neuronal persistent activity.
Automated detection and analysis of neuronal persistent activity.
复制标题
神经元持续活动的自动检测和分析。
DOI：
10.1016/j.jneumeth.2011.08.029
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发表时间：
2011
影响因子：
3
通讯作者：
Yuan,Li-Lian
中科院分区：
文献类型：
--
作者：
Parent,Marc;Yuan,Li-Lian
皮质神经元接收单独的以及同步的突触事件。后者可以驱动神经元进入活跃状态，其中持续去极化的膜电位持续数秒。这些持续事件的目视检查和手动检测是劳动密集型的。我们在MATLAB中构建了一组脚本，目标是拥有一个核心软件包，用于从大型时间序列数据中系统和客观地检测持续的神经活动。该分析软件包括多个步骤，从预处理阶段、事件检测、用户交互式检测审查和过滤/绘图。分析脚本和简要的使用信息可根据要求免费提供。
Cortical neurons receive individual as well as synchronized synaptic events. The latter may drive a neuron into an active state where a persistently depolarized membrane potential lasts for several seconds. Visual inspection and manual detection of these persistent events is labor-intensive. We built a set of scripts in MATLAB with the goal of having a core software package for the systematic and objective detection of persistent neural activity out of large time-series data. This analysis software includes multiple steps, from a pre-processing stage, event detection, user-interactive detection reviewing, and filtering/graphing. Analysis scripts and brief usage information are freely available upon request.