Figure 10

(A) For 2 similar inputs (i₁ and i₂) onto the network, the network mediated separation (NMS) is the Euclidean distance between the two corresponding network states (s₁ and s₂). (B) NMS is shown as a function of input difference compared for baseline and ictal-onset full parameter models (top). NMS slope and mean NMS is compared for baseline and ictal-onset full models and single parameter models (m = network connectivity, Vth = intrinsic excitability, r=synaptic strength) (bottom). (C) NMS as a function of input difference for increasing network connectivity m, ranging from pre-ictal to ictal-onset m values (top). Correlation between m and mean NMS (bottom). (D) For different inputs, the dynamic range δ is the log ratio of the input sizes (i₁ and i₂) that give rise to the largest and smallest network responses (S_max and S_min). (E) Output size as a function of input size compared for baseline and ictal-onset full parameter models (top). δ compared for baseline and ictal-onset full models and single parameter models (bottom). (F) Output size as a function of input size for increasing network connectivity m, ranging from pre-ictal to ictal-onset m values. Correlation between m and δ (bottom). * = p<0.01.