Raspberry Pi cluster, neuron networks and brain simulation

Question

Since the RBPI (Raspberry Pi) has very low power consumption and very low production price, it means one could build a very big cluster with those. I'm not sure, but a cluster of 100000 RBPI would take little power and little room.

Now I think it might not be as powerful as existing supercomputers in terms of FLOPS or others sorts of computing measurements, but could it allow better neuronal network simulation ?

I'm not sure if saying "1 CPU = 1 neuron" is a reasonable statement, but it seems valid enough.

So does it mean such a cluster would more efficient for neuronal network simulation, since it's far more parallel than other classical clusters ?