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Random subsets of the neurons are chosen for analysis. The results are compared to original system and among different sub-sample sizes.
The errorbars are calculated from the standard deviation of 8 random subsets for each given size.
Boltzmann learning is performed for each random sub sample for the model parameters, $h_i$ and $J_{i,j}$. The specific heat curves of the resulted models are calculated and as shown below.