Experimental and Numerical Data on Topographical Neuronal Cultures

This dataset contains experimental recordings on neuronal cultures grown on PDMS topographical cultures, as well as the corresponding numerical simulations. Data is in the form of raster plots and includes a representative full analysis for the extraction of important properties such as activity and effective connectivity. <br/>
Experimental data was obtained from rat primary neuronal cultures grown on topographical PDMS patterns. Spontaneous activity of neurons grown on different pattern configurations was then recorded using fluorescence calcium imaging. Data was then analyzed with the NETCAL toolbox run in Matlab (available at Zenodo, DOI: 10.5281/zenodo.1119026) to extract the raster plots and properties such as collective activity and effective connectivity. Numerical simulations were based on the articles Orlandi et al., Nature Physics 9, 582–590 (2013) and Ludl and Soriano, Front. Comput. Neurosci. 14, article 77 (2020), and were extended to include spatial constraints in network connectivity that mimic the experimental PDMS patterns.

这个数据集包含在PDMS拓扑培养物上生长的神经元培养物的实验记录，以及相应的数值模拟结果。数据以光栅图（raster plots）形式呈现，包含用于提取活性（activity）和有效连接性（effective connectivity）等重要特性的代表性完整分析。<br/>实验数据来源于在拓扑PDMS图案上培养的大鼠原代神经元培养物。随后，利用荧光钙成像（fluorescence calcium imaging）技术记录了不同图案构型下生长的神经元的自发活动。接着，使用在Matlab中运行的NETCAL工具箱（可在Zenodo获取，DOI：10.5281/zenodo.1119026）对数据进行分析，以提取光栅图及集体活性（collective activity）、有效连接性等特性。数值模拟基于Orlandi等人的文章（《自然物理》，9卷，582–590页，2013年）和Ludl与Soriano的文章（《计算神经科学前沿》，14卷，第77篇，2020年），并扩展纳入了模拟实验PDMS图案的网络连接空间约束（spatial constraints）。