The answer is no. The problem is, is that we don't trim the neural networks of their spurious connections and instead we're stuck staring at these fully (visual

The answer is no. The problem is, is that we don't trim the neural networks of their spurious connections and instead we're stuck staring at these fully (visually) connected layered networks. Once you start to trim out the spurious connections you start to see that you are left with a logic design with integration/threshold circuits instead of straight binary circuits that we're used to seeing. There are even certain universal network patterns what will emerge to perform different functions just like in binary circuit design. I wrote a paper about this in 2008 that's now been cited about 150 times. It's using Artificial Gene Regulatory Networks instead of Artificial Neural Networks, but the math is the same and the principle still holds: http://m.msb.embopress.org/content/4/1/213.abstract http://m.msb.embopress.org/content/4/1/213.abstract