Figure 8. The strength of functional inhibition and PIR depends upon the coupling to the rhythm. Figure shows the strength of functional inhibition (A) and rebound excitation (B), as inferred from the simulated CCGs in the case of a 4 Hz drive, as a function of two coupling strength parameters: (1) g1 (=g2), coupling between the drive and each neuron, and (2) g, the inhibitory coupling from neuron 1 to neuron 2 for a fixed noise level. As g1 (=g2) increases beyond 2, the firing of both neurons is increasingly modulated. Interestingly, we see that, for high values of g and g1 (=g2), the inhibition strength increases but the corresponding rebound strength does not necessarily increase. In fact, for a sufficiently large value of g, as the coupling with the drive increases, the rebound strength decreases, suggesting that, in this case, sufficiently high modulation of neuronal firings by the drive can suppress the number of rebound spikes fired by the postsynaptic cell. Here, I1 = 0.29, I2 = 0.0, vth = −1.5, and ksyn = 0.01. Mean of Gaussian noise is equal to 0, and the variance is 0.1.