Different spike inference metrics reach similar conclusions.

<p><b>A.</b> Area under the curve (AUC) of the inferred spike rate used as a binary predictor for the presence of spikes (evaluated at 25 Hz, 50 ms bins) on the test set. Colors indicate different datasets. Black dots are mean correlation coefficients across all <i>N</i> = 32 cells in the test set. Colored dots are jittered for better visibility. STM: Spike-triggered mixture model [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006157#pcbi.1006157.ref015" target="_blank">15</a>]; f-oopsi: fast non-negative deconvolution [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006157#pcbi.1006157.ref009" target="_blank">9</a>] <b>B.</b> Information gain of the inferred spike rate about the true spike rate on the test set (evaluated at 25 Hz, 40 ms bins).