Fig. 3.

Correlations between features of firing patterns during control epochs and subsequent behavior during synaptic blockade. Kendall tau shows prominent correlations between an algorithmic metric of burstiness (A) and manually scored burstiness classes (B) for features related to spike rate and variability, although not for features associated with the timing of burst-triggered single unit activity. A and B: Mean Spike Rate, average spike rate across all phases of population burst activity; Exp. Spike Count, spike count during expiratory phases of population activity; Insp. Spike Count, count during inspiratory phases; Post Spike Count, count during post-inspiratory period; Insp. Modulation, difference between inspiratory and expiratory phase spike counts; Exp./Insp./Post Count Std., standard deviations of spike counts during indicated phases; Pre-insp. Slope, slope of the firing rate function during the preinspiratory phase; Insp. Slope, slope during the inspiratory burst onset; Post Slope, slope during the inspiratory burst offset; Quart. Over Time, relative timing of the quarter-amplitude threshold crossing during the inspiratory phase; Half Over Time, relative timing of the half-amplitude threshold crossing. C: mean (solid lines) and quartile bounds (dashed) of firing rate function for the most (purple) and least (orange) bursty 25% of cells. Means and interquartile bounds are shown after amplitude normalization and detrending in D.