A substrate built as an instrument, not a model
Most neural simulations are built to reproduce a target: fit the parameters until the output matches a recording. This one is built the other way round. Composition and connectivity are fixed from biology first, and whatever dynamics follow are treated as the readout — including when they are inconvenient.
The cost of that choice is that failure has to be diagnosed, not tuned away. When the substrate does not do what was expected, the working assumption is an error in the mathematics or a missing biological factor, and the search goes there rather than into the free parameters.
Status — running. Maturation phase separated from the observation phase, so that the pressure applied during setup cannot be mistaken for behaviour discovered later.