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. Author manuscript; available in PMC: 2018 Nov 28.
Published in final edited form as: J Imaging Sci Technol. 2017 Nov;61(6):60404. doi: 10.2352/J.ImagingSci.Technol.2017.61.6.060404

Figure 1.

Figure 1

Data processing. (a) Neuroscientists collect time series of biological imaging data (in this instance, mouse brain slices). Bright spots in each image indicate activated (firing) neurons. (b) We use the Pearson correlation method to construct, from these images, an equivalent time series of correlation networks (top, abstraction). The correlation networks (bottom, image overlay) correspond to three time steps; blue dots encode the active nodes and green edges encode the links between correlated pairs. (c) We apply CommDy to these networks to infer dynamic communities (top, abstraction). Four communities (blue, green, orange, red) are overlaid on mouse brain images, for three time steps, in the bottom image.