Fig 3. Construction of basis filters using a randomly connected network with feed-forward inhibition using LASSO regression.

A1,B1,C1: Lyapunov exponent of randomly connected networks with increasing weight w. Networks with three different feed-forward inhibition time-constants are considered: τ _w = 10ms (A1), τ _w = 50ms (A2) and τ _w = 100ms (A3). Vertical black lines visualize the “edge-of-chaos” as defined in Methods. A2,B2,C2: Goodness of fit (R ²) of three exponential filters (τ ₁ = 10ms (blue), τ ₂ = 100ms (green) and τ ₃ = 500ms (red)) constructed from responses of corresponding networks above.