A nice discussion is going on in the NEAT User Group about the mechanism that lead to modular (artificial) neural networks, motivated by the recently published paper The evolutionary origin of modularity. The discussion around the questions, what modularity in a neural network actually is, how to measure it and how to setup evolutionary mechanisms to promote modularity in neural networks highlights the different views on that field that people with different backgrounds have.