Ok lets just end this nonsense once and for all.
What is the significant fundamental difference between a generalized computer and the human brain that causes you think generalized computers can't be conscious?
Neurons function by integrating signals transferred by waves of ion flux across membranes. Transistors function by integrating signals transferred by waves of electron flux through a circuit. Both entities integrate signals based on changes in the flux of charged particles.
Brains don't change shape, or even connectivity, during transient thought. All the neurons stay the same, and synaptic plasticity doesn't occur on a timescale short enough for us to be able to list it as a core requirement for consciousness. The only thing that changes is the pattern of signals travelling around the network. Computers are exactly the same -- they don't change shape, and the connectivity between transistors remains static. The only thing that changes is the pattern of signals travelling around the network.
So what is so special about a brain that a computer can't do? You still haven't answered that question piggy, and it seems like the most important question of all. Fundamentally both systems operate in a very similar manner and are capable of very similar signal flow.
Furthermore if the flow of information is what is important, then why do you assert that the physical connectivity must be similar? If the information flow is equivalent between two different network layouts, who is to say which one is correct? This is tantamount to saying that a neural network built with transistors might be conscious, but one built with vacuum tubes, relays, or any other kind of switch, can't be. Why not? I don't understand what criteria you are using to judge whether a given physical device is suitable when the only metric that should matter is whether they can integrate signals based on changes in the flux of charged particles.