This is not dissimilar to research done on artificial regulatory networks driving paterning in drsosophila. Turns out the topological circuitry, not the biologi

This is not dissimilar to research done on artificial regulatory networks driving paterning in drsosophila. Turns out the topological circuitry, not the biological details explains the behavior. The network actually didn’t work initially until they added a then unknown gene that they later discovered. They even used this artificial network to predict phenotypic mutations that were later confirmed emirically. One of the reasons why we have such a problem getting our heads around neural networks is that we don’t test and remove the spurious interactions in our topological visualization. Do that and the underlying circuit will reveal itself in the same way that any second year EE can identify the circuit topology of a 3-bit adder. Neural networks don’t have binary logic gates, rather you can have a large number of inputs and it works on a threshold basis.