 Starting with initial node activations close to zero, the nodes of the coherence network are synchronously updated in terms of their old activation and weighted input from linked nodes, with “data” nodes set as a constant input of 1. Once the network settles down to equilibrium, an explanatory hypothesis p1 is taken to defeat another p2 if its activation value is higher—at least generally, positive as opposed to negative  (Figure 5).