MEA-ToolBox extracts information about spike trains, burst-related analysis and connectivity metrics without the need of manual intervention. Here, we present ‘‘ MEA-ToolBox’’, a free open-source general MEA analytical toolbox that uses a variety of literature-based algorithms to process the data, detect spikes from raw recordings, and extract information at both the single-channel and array-wide network level. Various software packages have been developed to tackle this issue, but to date, most are either not accessible through the links provided by the authors or only tackle parts of the analysis. However, the handling and processing of the large amount of data typically generated in MEA experiments remains a huge hurdle for researchers. Functional assessment of in vitro neuronal networks-of relevance for disease modelling and drug testing-can be performed using multi-electrode array (MEA) technology.
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