Thanks, that's where I would like this technology to go. Vast numbers of artificial neurons suspended in a stable, clear, heat conductive gel like substance. Tiny bots could then navigate around the brain clearing out damaged neurons and replacing them. I like the idea of it being a colloidal mixture, it would reduce the need for precise density matching between the neurons and the medium they are suspended in. The tricky part is getting the programming/types of neurons dialed in enough that once this mixture is injected into an appropriately equipped cranial cavity, they would self organize themselves into a generally intelligent network.
The apparent options for non contact communication such as light, sound, radio, or Bluetooth, as well as the miniaturization required, proved too difficult and/or expensive for the time being. So, I've left that part of the system sit until inspiration strikes, or new technology becomes available and affordable. I've made the communication physical by using electrical connections while I think about the programming aspect of it. At first in broad concepts, but hopefully narrowing down to the specifics which could produce useful results.
You've seen my attempt at mind molecules in that thread with the picture of different types of neurons fitted together, where I'd hoped these mind molecules could be fitted together like a 3D Tetris or a homogeneous solid of some kind. The closest I've gotten to that is a simple crosshatch which generates multiple 3D networks within each other. Neurons remain in contact with some types more than others, but they still end up enmeshed in a better approximation of the random distribution which would occur in a gel, while still allowing neurons of the same type to be in direct communication with each other, like what would also be possible in a gel.
Light as a power source seems to be the best option. As for communication, wireless waves of unique frequencies for the emitters, and individually adjustable frequency filters for the receivers look like they could create a tunable network.
Eventually, by having something like a field programmable gate array in each physical neuron, it might be possible to have an adjustable net governing the function of each neuron. That way the network could become more compact by reducing the total number of required physical neurons, thereby increasing the total computational capacity per set number of nodes, and become capable of fine-tuning itself to a greater degree.