Figure 4.

Figure 4.

Neurocomputational model. Schematic of dominant-like (A) and subordinate-like (B) neurocomputational models. Thin solid lines, thick solid lines, and thick dashed lines represent regular inputs, strong inputs, and weak inputs, respectively. Dominant-like model was simulated with D1GL=0.65,gGA→GL=0.2 for the WT control while subordinate-like model was simulated with D1GL=0.25,gGA→GL=0.4 for WT control. C, D, Simulated response of dominant-like (C) and subordinate-like (D) models of escape circuit to positive current injections in the sensory input with/without (ON/OFF) Drd1, thus, mimicking Drd1 antagonism (D1M = 0, D1GL= 0). E, F, simulated response of dominant-like (E) and subordinate-like (F) models of escape circuit to positive current injections in the sensory input with/without (ON/OFF) GABAergic receptor, thus, mimicking GABAergic receptor antagonism (gGA→M=0 and gGA→GL=0). We also used βGL= 0.024 for dominant-like model and βGL= 0.0072 with subordinate-like model.