Fig. 5.

Resetting improves adaptive feeding in a dynamic environment. (A) Pumping rate in response to a step increase in mean food level from 10 to 20 units, for a model with and without resetting (red and olive, respectively). The step happens at $t=\mathrm{1,000}$ (dashed line and after shading). The shaded area shows the SD as calculated from 30 simulated trials. (B) Cumulative net food intake (gain) over the simulated time. The width of the curve indicates the SD as calculated from 30 simulated trials. A random model with a 50% chance of pumping performs worse (dashed black line). (C) Response of the full model to a step in food level from 10 to 20 units for stringency $p=0.01$, 0.1, and 0.2 (yellow, red, and olive, respectively). (D) Response of the nonresetting model to a step in food level from 10 to 20 units for stringency $p=0.01$, 0.1, and 0.2 (yellow, red, and olive, respectively). Each time step in the stimulation represents 1/6 s.