SiGMoiD: A super-statistical generative model for binary data
Fig 2
Comparison of SiGMoiD with max ent modeling.
(A) the frequencies of individual configurations estimated from the samples (x-axis) and from the two models (y-axis), (red: max ent, blue: SiGMoiD). Only the frequencies of the 1442 configurations observed at least once in the samples are shown. (B) the probability that n neurons fire in any given configuration as estimated from samples (black), the max ent model (red), and SiGMoiD (blue), (C) and (D) comparison between the absolute values of three variable correlations 〈δσiδσjδσk〉 estimated from data (x-axis) and those using the models (y-axis). There are such correlations.