> "In Pregel, programs are expressed as a sequence of iterations. In each iteration, a vertex can, independently of other vertices, receive messages sent to it in the previous iteration, send messages to other vertices, modify its own and its outgoing edges' states, and mutate the graph's topology [...]"

This sounds very similar to how neural networks are updated through time. Could this be used to easily simulate biological cognition? Am I missing something? And, scalability isn't a problem:

> "Currently, Pregel scales to billions of vertices and edges, but this limit will keep expanding."

The human brain only has about 100 billion neurons.