Kind of done with the other guy, but reading this reminded me of a paper I saw a while ago but admit I haven't read yet. https://journals.aps.org/prx/pdf/10.110

Kind of done with the other guy, but reading this reminded me of a paper I saw a while ago but admit I haven't read yet. https://journals.aps.org/prx/pdf/10.1103/6shh-9h5m https://journals.aps.org/prx/pdf/10.1103/6shh-9h5m It's more about computational complexity it seems but maybe it cites stuff that might interest you. It's using computational neural networks that no one has ever believed represent the biology of the brain, but I think I must still disclose the following to save the precious time of the genius solving the problem all by himself: It doesn't fully account for every biological detail ever documented, so it's probably a meaningless "curiosity". Oh it probably also doesn't account for every detail discovered since publication so even if had value at time of publication it is not worth reading now.