Power law decay of stored pattern stability in sparse Hopfield neural networks
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Power law decay of stored pattern stability in sparse Hopfield neural networks |
| Fei Fang,Zhou Yang,Sheng-Jun Wang |
| Figure 3. The distribution of the noise term Tnoise in scale-free networks. The dashed line is the exact Gaussian distribution in the analytic results. The curve is the numerical simulation results. The parameters are N=10 000, pattern number n=100, and average degree ⟨k⟩=50. |
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