Fig. 2.

Maximum entropy models for retinal activity in response to natural movies (11). (A) The correlation coefficients between pairs of neurons (red, positive; blue, negative) for a 120-neuron subnetwork. Inset shows the distribution of the correlation coefficients over the population. (B) The pairwise coupling matrix of the inferred model, $J_{\text{ij}}$ from Eq. 4. Inset shows the distribution of these pairwise couplings across all pairs $\text{ij}$. (C) The average probability of spiking per time bin for all neurons (sorted). (D) The corresponding bias terms $h_{\text{i}}$ in Eq. 4. (E) The probability $P\left(K\right)$ that K out of the N neurons spike in the same time bin. (F) The corresponding global potential $V\left(K\right)$ in Eq. 4. Notice that A, C, and E describe the statistical properties observed for these neurons, whereas B, D, and F describe parameters of the maximum entropy model that reproduces these data within experimental errors.