Related to this topic, we still don't have a good, strong idea of how human thought works. Neural Networks/Perceptrons were built out of analogies of how human-

Related to this topic, we still don't have a good, strong idea of how human thought works. Neural Networks/Perceptrons were built out of analogies of how human-like neurons seem to work (primarily in isolation studies in a petri dish or similar experiments), but it is very easy to forget that the model/analogy is not the reality when you work with those models a lot. The current "map" certainly doesn't seem to be the territory here. Neurons are just one part of the human brain, there's also complex chemical receptors and hormonal pathways that we mostly still only grasp in the abstract of how they interplay with neurons and other signal pathways. Additionally, there's indirect evidence that brains may take some advantage of quantum effects among/between neurons such as entangled particle states, but we don't know a lot more than we know about the quantum states of human brain activity. (How do we even probe that in a living human with our current knowledge of quantum physics?) Neural Networks/Perceptrons have been very useful models in computation, but that doesn't mean they are actually good or representative models for human cognition.