1) Nobody is even bothering to explain why this is like a human brain rather than 1M spider brains or 1B nematode brains - I suspect 1M spider brains is probably closer to reality, and I doubt that adds up to one human. The choice of "human" is a marketing gimmick.
2) Even in nematode brains, each neuron is very different, in a way that can't be explained by a small array of floating-point numbers. These SNN architectures are too homogenous and simple to explain the actual behavior of individual neurons. (See https://www.quantamagazine.org/how-computationally-complex-i... which discusses standard ANNs, but I strongly doubt a single layer of SNN neurons can actually emulate an individual rat neuron.)
3) Epigenetic effects are clearly important for thinking and memory formation, yet totally ignored by these architectures: https://www.smithsonianmag.com/smart-news/scientists-say-the...