Figure 3
From: Inferring structural connectivity using Ising couplings in models of neuronal networks
Effect of network topology. (a) Plot of the AUC values for networks of 30 neurons with scale-free (SF), small-world (SW) and Erdos-Renyi (ER) random network topologies. Data was averaged over ten simulated networks for each network condition. Firing rate was fixed at 20 Hz in all cases. All the three topologies had the same link density of 0.2. (b) An example of the structural connectivity network for each topology. Scale-free networks form a few highly connected hub nodes. Modular small-world networks present a balance of segregation and integration via dense intra-module connections and sparse inter-module connections. Most nodes in random networks have a degree in the vicinity of the average degree of the network.
