Replication Data for: MEA-NAP compares microscale functional connectivity, topology, and network dynamics in organoid or monolayer neuronal cultures

This collection includes MATLAB-based code, microelectrode array (MEA) data, and other resources to assist users with our computational tool, the MEA network analysis pipeline (MEA-NAP). ** Dataverse contents: ** 1. MEA-NAP.zip - The MATLAB-based code for MEA-NAP version 1.6.0. For the most up-to-date version, please see https://github.com/SAND-Lab/MEA-NAP/ ** 2. MEA-NAP GUI Tutorial.mp4 - A detailed video guide to using MEA-NAP for new users. ** 3. NGN2_20230208_Data - MEA recordings from NGN2 neuronal cultures and batch analysis file. These are example inputs to MEA-NAP. ** 4. NGN2_20230208_OutputData - The full output folder including Steps 1-5 is zipped to preserve the folder organization. Outputs from Steps 1 and 2 are available for download as individual files. ** When viewing \"Files\" below, we recommend you \"Change View\" to \"Tree\".

本数据集集合包含基于MATLAB的代码、微电极阵列（microelectrode array, MEA）数据及其他辅助资源，用于协助用户使用我们开发的计算工具——MEA网络分析流程（MEA network analysis pipeline, MEA-NAP）。**数据库内容如下：** 1. MEA-NAP.zip——MEA-NAP 1.6.0版本的MATLAB代码。如需获取最新版本，请访问https://github.com/SAND-Lab/MEA-NAP/。 2. MEA-NAP GUI操作教程.mp4——面向新用户的MEA-NAP使用详细视频指南。 3. NGN2_20230208_Data——来自NGN2神经元培养物的MEA记录数据与批量分析文件，可作为MEA-NAP的示例输入数据。 4. NGN2_20230208_OutputData——包含1至5步完整流程的输出文件夹已压缩，以保留原有目录结构。其中第1、2步的输出可作为单独文件下载。 在浏览下方的「文件」板块时，建议将「视图模式」调整为「树状视图」。