Generalization errors appear with large deviations from the training input. We test the 36 parameter model inferred in Figure 7 under two different stimulation protocols. Lines and shading show mean and standard deviation over 60 realizations, computed as in section 2.2. (A, B) After completely removing external inputs to L4e (compare A with the training input in Figure 7A), predictions of the inferred and theoretical models are still indistinguishable. (C, D) To obtain visible deviations between inferred and theoretical models, we used inputs (C) that stretch the mesoGIF assumptions. Oscillations are present in both the microscopic and mesoscopic models, but in the latter they have much larger amplitudes: compare the blue and red traces to the thicker green trace in panel D.