EDIT This question is extremely badly worded and I would appreciate it if you could ignore it's content. I cut and pasted parts of two related but unfortunately distinctly different questions into one post and was unable to edit it to my satisfaction for a period of time. In particular, the Moore's Law references are not germane to the question. My apologies for this error.
I have voted to close my own question, due to its inherent unfixable problems, and if anybody else with sufficient reputation wants to vote to close, please feel free to put it out of its misery:) Again, my apologies for my posting, before checking for errors. END EDIT
There are estimated to be 86 billion neurons in the human brain. I am ignoring a further 90 billion non neuron support cells. It is difficult to establish a comparison (as regards "packing density") between the number of transistors in an integrated circuit CPU of a current computer and the neurons in a human brain.
As of 2015, the highest transistor count in a commercially available CPU (in one chip) is over 5.5 billion transistors, in Intel's 18-core Xeon Haswell-EP.
My obvious problem here is that I simply don't know how directly we can compare a human neuron with a presumably much simpler man-made transistor. I will assume they can be directly compared, but I realise this is a completely ad-hoc assumption. Human Brain Energy Use may be of relevance here.
My question is, can we estimate how closely our brains conform to Moore's law? My rationale is that, although a neuron is different in many ways to a transistor, if they both ultimately follow quantum mechanical principles, then I have assumed they both follow Moore's law, in the context of "you must keep the wires a certain distance apart".
In particular, it would be interesting to know, assuming a neuron is much more complex than a transistor, if our brain's cells actually follow the Moore's law.