The completely bionic artificial neural network

The neural signal scanner is harder to implement than the neural network scanner. The scanner is one, and the other one is the container. No matter how the RD progress of the scanner is, the container is easier to implement. We can use the current virtual reality to record the future scanned 3D image and then simulate the real work of the neural system with slower performance. However, if we want it to run faster, we must make the scanned neural network to be the hardware. In addition to that, the way to have virtual reality in the completely bionic artificial neural network is different from the current processor system, and it will run completely the same as the neural system in our bodies. 

The question is: even one day the scanning technology reaches the resolution of the neural ion stream, how to generalize the formula for simulating out the next state from a series of the scanned states and how to be sure it is working the same as the original brain? 

Record the entire brain map at as much spatiotemporal resolution as possible and for as long as possible. This is the most popular way to commemorate life in contemporary times, just store it in the cloud first. For a large number of continuous brain maps, perform a regression analysis to find out formulas or train the neural network to generate the next time point of the brain map, and then compare it with the original brain maps. This will go through a lengthy iterative process until the simulated brain is fairly consistent with the original brain map record. With the development of science and technology in the times, more people of later generations have more detailed records of spatiotemporal resolution, and simulation technology is also constantly improving. But this is a kind of clone, and the original will be still gone.