Corrigendum: Spectral Entropy Based Neuronal Network Synchronization Analysis Based on Microelectrode Array Measurements (Front. Comput. Neurosci, (2016), 10, (112), 10.3389/fncom.2016.00112)

Fikret E. Kapucu, Inkeri Välkki, Jarno E. Mikkonen, Chiara Leone, Kerstin Lenk, Jarno M.A. Tanskanen, Jari A.K. Hyttinen

    Research output: Contribution to journalComment/debateScientific

    Abstract

    In the original article, there was a mistake in the legend for Figure 8 as published. The “MEA1” in the text was supposed to be “MEA2” in the legend. The corrected legend appears below. Also, there was a mistake in Figures 7 and 8 as published. The figures were not representing the text in the original publication. Since the text is written according to the published data (which can be easily confirmed by the original Figures 5 and 6), the data is not well-represented in the Figures 7 and 8. The thickness of lines between the nodes were plotted wrong. Otherwise all the channels and connections between those channels are correct, except for Figure 7E cES (eSTD) and igure 8E cES(STD). The original Figure 7E cES (eSTD) and Figure 8E cES(STD) were possibly plotted from the wrong data. The corrected Figures are now representing the originally published data and the text without any mistakes. The corrected Figures 7 and 8 appear below. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way, in fact the corrected Figures now firmly represent the results and conclusions presented in the original article.

    Original languageEnglish
    Article number586506
    JournalFrontiers in Computational Neuroscience
    Volume14
    DOIs
    Publication statusPublished - 4 Nov 2020
    Publication typeNot Eligible

    Keywords

    • correlation
    • developing neuronal networks
    • MEA
    • microelectrode array
    • mouse cortical cells
    • rat cortical cells
    • spectral entropy
    • synchronization

    ASJC Scopus subject areas

    • Neuroscience (miscellaneous)
    • Cellular and Molecular Neuroscience

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