Extended Data Fig. 8: Expansion layer dimension and noise strength depend on compression layer dimension and noise strength.
a: Dimension of the expansion layer representation as a function of the compression layer one. The compression layer representation was distributed, and its dimension was varied by changing p between 0 and 1. b: Noise strength Δm at the expansion layer as a function of the noise strength at the compression layer. Noise was additive, Gaussian, and isotropic at the compression layer, with standard deviation varying from 0 to 0.1. In both panels, solid lines show the theoretical result and dots are simulation results, averaged over 10 network realizations. Standard deviation of numerical simulations is not visible because it is smaller than the size of the marker. Parameters: Nc = 100, M = 1000, f = 0.1.
