FIG. 3.

Learning capacity is primarily determined by $\sqrt{{\mathrm{\Lambda }}_1}$, the effective gain of the network. (a) The learning index for four pure frequency target functions (Ω₀ = π/120) plotted as a function of the radius $r=\sqrt{{\mathrm{\Lambda }}_1}({\alpha }_1,\gamma )$. The training epoch lasted approximately 100 periods of the target signal. Each point is an average over 25 networks with N = 500, ε = 0.2 and different values of α₁ and γ. The line is a moving average of these points for each frequency. (b) The same data averaged over the target frequencies shown as a function of γ and α₁. Contour lines of l_Ω (white) and of $\sqrt{{\mathrm{\Lambda }}_1}$ (black) coincide approximately in the region where l_Ω peaks.