This project is often used to joke about the limitation of computational modelling of nervous system. If you can't compute the behavious of an effing worm with mere ~300 neurons, whats the point of all hot-air around connectomics (mapping connections of the brain). Connectomics used to be a big word when I started my Ph.D.. The apologists are always like, "real neuron is way too complicated!".
IMHO, chemical computations are often over-looked in neural "computation" communities which are extremely hard to model. Forgetting modelling, we don't know reaction parameters of most proteins and other molecules involved. Electrical side of computation is easy to measure and one can understand why we started with it. There are a thousands types of proteins even in a small structure such as synapse, and individual protein can implement interesting non-linear computation. E.g. CaMKII can implement and bistable switch (flip-flop) and thus store 1-bit of memory using just a few molecules (the real story is a much more complicated).
On a scale of one to ten, how sick are you of people asking you about Neal Stephenson - "The Fall, or Dodge in Hell"?