> to find the most similarities, we should compare groups of artificial neurons to groups of real neurons And to be clear, in brains there are very few structu

> to find the most similarities, we should compare groups of artificial neurons to groups of real neurons And to be clear, in brains there are very few structures that are self-defined and not connected to a whole lot of other inputs and outputs... So while the group-to-group comparison may be broadly similar at the core, the comparison will break down at the boundaries. In other words, the brain is a very side-effecting computational structure, and it is difficult (if not impossible) to isolate a purely-functional set of neurons with clearly defined inputs and outputs.