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. 2014 Jan 2;10(1):e1003408. doi: 10.1371/journal.pcbi.1003408

Figure 2. Learning the pairwise maximum entropy model for a 100 neuron subset.

Figure 2

A subgroup of 100 neurons from our set of 160 has been sorted by the firing rate. At left, the statistics of the neural activity: (A) correlations Inline graphic, (B) firing rates (equivalent to Inline graphic), and (C) the distribution of correlation coefficients Inline graphic. The red distribution is the distribution of differences between two halves of the experiment, and the small red error bar marks the standard deviation of correlation coefficients in fully shuffled data (1.8×10−3). At right, the parameters of a pairwise maximum entropy model [Inline graphic from Eq (19)] that reproduces these data: (D) coupling constants Inline graphic, (E) fields Inline graphic, and (F) the distribution of couplings in this group of neurons.