Structurally-defined neuron classes can be identified mathematically from the adjacency matrix.

<p>This figure shows histograms of the number of reciprocal connections in which each neuron participates, for the rewired ring lattice (with and ) used to obtain the data shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0088254#pone-0088254-g001" target="_blank">Figures 1</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0088254#pone-0088254-g003" target="_blank">3</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0088254#pone-0088254-g006" target="_blank">6</a>. There is an obvious classification of these data into three kinds of structurally-defined neuron classes for both excitatory and inhibitory neurons. Indeed, the classification corresponds exactly to the Class 1, Class 2 and Class 3 neurons created during the rewiring procedure.