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. Author manuscript; available in PMC: 2018 Dec 1.
Published in final edited form as: Ann Appl Stat. 2018 Nov 13;12(4):2430–2456. doi: 10.1214/18-AOAS1159

Fig. 8.

Fig. 8.

We display the estimated neurons that result from applying a competitor method, CNMF-E [Zhou et al. (2016)], to the calcium imaging video considered in Section 6.2 for (a) the default parameters cmin = 0.85 and αmin = 10, (b) the parameters cmin = 0.6 and αmin = 7 and (c) the parameters cmin = 0.5 and αmin = 3. The variation in darkness of the neurons estimated by CNMF-E is due to the fact that they take on continuous values compared to the binary masks produced by SCALPEL. In each plot the true neurons identified by SCALPEL are outlined in gray. Regardless of the tuning parameters used, CNMF-E yields a substantial number of false positives and false negatives.