The description of neural dynamics, in terms of precise characterizations of action potential timings and shape and voltage related measures, is fundamental for a deeper understanding of the neural code and its information content. Not only such measures serve the scientific questions posed by experimentalists but are increasingly being used by computational neuroscientists for the construction of biophysically detailed data-driven models. Nonetheless, online resources enabling users to perform such feature extraction operation are lacking. To address this problem, in the framework of the Human Brain Project and the EBRAINS research infrastructure, we have developed and made available to the scientific community the NeuroFeatureExtract, an open-access online resource for the extraction of electrophysiological features from neural activity data. This tool allows to select electrophysiological traces of interest, fetched from public repositories or from users' own data, and provides ad hoc functionalities to extract relevant features. The output files are properly formatted for further analysis, including data-driven neural model optimization.

中文翻译：

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EBRAINS NeuroFeatureExtract：从电生理数据中提取神经活动特征的在线资源。

神经动力学的描述，在动作电位计时和形状以及电压相关测量的精确表征方面，对于更深入地理解神经代码及其信息内容至关重要。这些措施不仅服务于实验主义者提出的科学问题，而且越来越多地被计算神经科学家用于构建生物物理学详细的数据驱动模型。尽管如此，缺乏使用户能够执行此类特征提取操作的在线资源。为了解决这个问题，在人类大脑项目和 EBRAINS 研究基础设施的框架内，我们开发了 NeuroFeatureExtract 并将其提供给科学界，这是一种用于从神经活动数据中提取电生理特征的开放访问在线资源。该工具允许选择感兴趣的电生理痕迹，从公共存储库或用户自己的数据中获取，并提供临时功能来提取相关特征。输出文件的格式正确，以供进一步分析，包括数据驱动的神经模型优化。