I know that recursive neural integrators (let me know if I need to clarify this term) can be considers soft normalizers, since their feedback loop means that any stimulus eventually saturates the neuron. However, I often see the term "divisive normalization" (which is apparently a synonym for divisive/shunting inhibition confusingly according to Wikipedia and this paper) and I'm not sure what it means and how it relates to soft normalization. They both seem to be regulating the responses of neurons, but they seem to be doing them in different ways. Is that all there is to it?
Explanation of the relation between the two concepts is appreciated.