This doesn't necessarily change anything about computing neural nets. You need to view the genomic variation as representing the complexity of each neural unit:

This doesn't necessarily change anything about computing neural nets. You need to view the genomic variation as representing the complexity of each neural unit: its connections (in and out), it's propensity to fire, and function it operates by. The genome is just the code representing this information. Basically, each node in a neural nets is unique akin to each neuron.