Automatic Adaptation to Fast Input Changes in a Time-Invariant Neural Circuit
Fig 4
Rectification nonlinearity and its effect on the feedback inhibitory circuit.
(a) Rectification nonlinearity (black), with threshold at v = 1. Linearized responses in color (cyan: min; magenta: max). (b) Nonlinear feedback inhibitory network. The nonlinearity (inset) is applied to the interneuron’s output. Nonlinearities with increasing thresholds are colored (green: min; red: max) (Methods). (c) Network gain at different input frequencies (note: the frequency space is in Z-space, i.e. defined with respect to the fixed time step of the network). The three colored curves are the nonlinear network response curves (computed using describing function analysis, colored as in (b)) (Methods). The dotted lines provide extreme parameter values for the linear network: Γ = 0,1.