Interdisciplinary inventions are always a source of interesting phenomena, and not just because it sometimes involves co-operation between physicists and chemists (I may have been joking).

In this exercise, a team of chemists used organo-metallic compounds to create logic gates. I go into the schmience on the schmience blog, but here, I wanted to discuss the concept and the effects of biological computing.

Electronics and Organic Chemistry. It's like mixing pandas and broken rubik's cubes.

When I asked around (read: people standing next to me in the lunch line) about the first thing that they thought of when I mentioned biological computing, they 'brain' or 'artificial brain' or some variant of that trend. This venture of making biology like the existing physics, is the heart of my question.

Taking into consideration the almost incomprehensibly complex piece of mush that is our brain, and also mind-bogglingly fast and accurate computing marvels that we've produced today:
Should we work towards making physically realistic biological simulations (like the one this article features), or biologically-realistic physics simulations (like neural networks)?

Open question.