meaRtools: An R package for the analysis of neuronal networks recorded on microelectrode arrays

Oct 23, 2018 1 min read 👏

Publishing date: 2018-10-23

Published on: PLOS Computational Biology

summary: In this paper, Gelfman et al. present an open-source R package ‘meaRtools’ that provides a platform for analyzing neuronal networks recorded on Microelectrode Arrays (MEAs). meaRtools functionality covers novel solutions for spike train analysis, including algorithms to assess electrode cross-correlation using the spike train tiling coefficient (STTC), mutual information, synchronized bursts and entropy within cultured wells. Also integrated is a solution to account for bursts variability originating from mixed-cell neuronal cultures.

authors: Sahar Gelfman, Quanli Wang, Yi-Fan Lu, Diana Hall, Christopher D. Bostick, Ryan Dhindsa, Matt Halvorsen, K. Melodi McSweeney, Ellese Cotterill, Tom Edinburgh, Michael A. Beaumont, Wayne N. Frankel, Slavé Petrovski, Andrew S. Allen, Michael J. Boland, David B. Goldstein, Stephen J. Eglen

link to paper: 10.1371/journal.pcbi.1006506

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Research Article None PLOS Computational Biology

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