That's about what I was looking for:LIU, Lanlan et DENG, Jia. Dynamic deep neural networks: Optimizing accuracy-efficiency trade-offs by selective execution. In : Proceedings of the AAAI Conference on Artificial Intelligence. 2018.

Problem: Control nodes prevent the direct application of back-propagation to learn.I have an idea of how we could solve that... >:)A way to remove control nodes while still retaining the concept of control

I only need to add recursion. A truly Turing complete NN, with Billions of Neurons but a small execution path. Encoding knowledge, but using it only when needed!