At the Edge of Chaos: How Cerebellar Granular Layer Network Dynamics Can Provide the Basis for Temporal Filters
Fig 5
Push-pull coding is beneficial for filter construction.
A: Individual responses of randomly chosen granule cells with w = 1.4 but without push-pull input coding. Black bars indicate duration of pulse input. B: As previously, filters used are τ1 = 10ms (blue), τ2 = 100ms (green) and τ3 = 500ms (red). Default network: τw = 50ms and push-pull input coding. B1: Default goodness of fit (R2) (light lines) is compared to network without push-pull input coding (dark lines). B2: Goodness of fit for default network (light lines) is compared to network without push-pull input (dark lines) using regression with positive coefficients only. B3: Corresponding Lyapunov exponent for network with (dark orange line) and without push-pull coding (light orange lines).