%0 Figure %A Marken, John P. %A Halleran, Andrew D. %A Rahman, Atiqur %A Odorizzi, Laura %A LeFew, Michael C. %A Golino, Caroline A. %A Kemper, Peter %A S. Saha, Margaret %D 2016 %T Distributions of Markovian Entropy and other analysis measures of calcium activity from Xenopus laevis neural progenitors. %U https://plos.figshare.com/articles/figure/Distributions_of_Markovian_Entropy_and_other_analysis_measures_of_calcium_activity_from_Xenopus_laevis_neural_progenitors_/4449569 %R 10.1371/journal.pone.0168342.g004 %2 https://plos.figshare.com/ndownloader/files/7210832 %K calcium dynamics %K Calcium Activity Time Series Methods %K fractal analysis approaches %K murine synaptic neurons %K Markovian Entropy Measure %K implementable calcium time series analysis method %K displays activity time series %K dataset %K Markovian Entropy measure %K time series data %K calcium activity %K calcium analysis methods %X

Univariate scatterplots represent the (a) Markovian Entropy, (b) Number of Spikes, (c) Average Power, and (d) Hurst Exponent of Xenopus laevis neural progenitor cells’ calcium activity at embryonic stages 14, 18, and 22. Lines represent mean ± SD of 2,176, 2,664, and 757 cells, respectively. All comparisons between distribution were statistically significant according to a Bonferroni-corrected two-sample Kolmogorov-Smirnov Test (p < 0.01). Hence stars are used to represent the effect size, rather than the significance of difference, between distributions via Cohen’s d statistic (*: |d| ≥ 0.20, **: |d| ≥ 0.50, ***: |d| ≥ 0.80, ****: |d| ≥ 1.00, *****: |d| ≥ 2.00) [29]. Markovian Entropy is calculated with n = 2 and k = 1.

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