A neural network of neural networks is... a bigger neural network. Having two or three layers of nonlinearities per "neuron" doesn't do anything qualitatively different.

There are probably lots of huge differences between NNs and brains but this article is really making the case that the brain can be modeled as a big NN, just with a few thousand times more activations than neural cells.