naplib-python: Neural acoustic data processing and analysis tools in python.
naplib-python: Neural acoustic data processing and analysis tools in python.
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DOI：
10.1016/j.simpa.2023.100541
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发表时间：
2023-09
期刊：
影响因子：
--
通讯作者：
Mesgarani N
中科院分区：
文献类型：
--
作者：
Mischler G;Raghavan V;Keshishian M;Mesgarani N
最近，计算神经科学界一直在推动该领域更透明和可重复的方法。为了统一听觉神经科学领域，naplib-python提供了一个直观和通用的数据结构来处理所有的神经记录和刺激，以及广泛的预处理，特征提取和分析工具，这些工具可以在该数据结构上操作。该软件包消除了与该领域相关的许多复杂因素，例如不同的试验持续时间和多模式刺激，并提供了一个通用的分析框架，可以轻松与该领域使用的现有工具箱进行接口。
Recently, the computational neuroscience community has pushed for more transparent and reproducible methods across the field. In the interest of unifying the domain of auditory neuroscience, naplib-python provides an intuitive and general data structure for handling all neural recordings and stimuli, as well as extensive preprocessing, feature extraction, and analysis tools which operate on that data structure. The package removes many of the complications associated with this domain, such as varying trial durations and multi-modal stimuli, and provides a general-purpose analysis framework that interfaces easily with existing toolboxes used in the field.