I may be wrong, but it sounds like you just described a mathematical model of a brain. A neuron is a discrete function, and every time it fires its connections to neighbouring neurons are subtly altered.

Maybe the trick to stability is making less radical changes per generation, like changing edge weights, rather than wholesale creation and deletion?