Fig. 7From: Inhomogeneous Sparseness Leads to Dynamic Instability During Sequence Memory Recall in a Recurrent Neural Network ModelInhomogeneity reduces memory capacity. a The maximum retrievable sequence length is shown (colored discs) as a function of the number P of associations stored in the network and the corresponding mean connectivity c. Different colors indicate inhomogeneities ( σ ϕ / ϕ 0 ). b Power law fits to the decreasing parts of the graphs in a give rise to a cutoff capacity P c (top) at which the curves start to fall, and an exponent α (negative slopes in a) of the power law decrease. Parameters were N= 10 5 , c m =0.1, and ϕ 0 =0.01Back to article page