Structured Neural Networks?

Back propagation networks often initialize their weights randomly. What effect do different random settings have on the ultimate behavior? Further, would it be more efficient to have structured weights, based on the behavior from the start? Is this similar to the set up of the brain, where connections are initially based on the growth of nerves? Is the growth of these nerves (during forming of the fetus led by the inputs or predetermined?