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Fig. 8 | The Journal of Mathematical Neuroscience

Fig. 8

From: Inhomogeneous Sparseness Leads to Dynamic Instability During Sequence Memory Recall in a Recurrent Neural Network Model

Fig. 8

Mechanisms of sequence termination. Top: three triangular coding ratio distributions p ϕ (ϕ) with maximum at ϕ max =0.01, mean coding ratios ϕ 0 = ϕ max (± 2 σ ϕ ), and fixed standard deviation σ ϕ =0.1 ϕ max : a negatively skewed distribution, b symmetric distribution, c positively skewed distribution. Panels (cf. Fig. 5): Replay success rates in the ( ϕ max ,θ) plane. The region of retrieval obtained from the mean field equations was validated with computer simulations of some of the corresponding networks of binary neurons (white discs, 95 % success rate). Parameters were N= 10 5 , c m =0.1, and c=0.05

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