Fig. 3: Call timing adaptation to amplitude modulated noise is independent of predictability but sensitive to rate. | Communications Biology

Fig. 3: Call timing adaptation to amplitude modulated noise is independent of predictability but sensitive to rate.

From: Flexible control of vocal timing in Carollia perspicillata bats enables escape from acoustic interference

Fig. 3

A Average call onset distributions show call timings follow the inverse of the amplitude modulation cycle in both predictable (steady-state) and unpredictable (random) temporal contexts, but only do so reliably up to 16 Hz. *** p < 0.001, Rayleigh’s test. B MLE von Mises mean and concentration parameters indicate that the call clustering pattern is robust but graded in playback conditions, with the greatest anti-phase concentration of call onsets occurring in slowest rate contexts and the clustering becoming less extreme with increasing rate. C Estimated mean rates of calling (darkly colored dots with gray outline) from negative binomial models show suppression of calling rate induced by masking noise, but the degree of suppression is determined by modulation rate. Data points (lightly colored dots) indicate number of calls observed per hour for each group for each recording day. Gray vertical lines indicate SE of model fit for predicted means.

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