We don't know about that.
> without weights between them it We don't know where are located the weights but yes probably. We know for sure that individual neurons and axons do not reduce to a single floating point though. They have action potential memory and many dynamic modulators. Basically I believe the idea that neurons are mostly doing linear regression (which is what neural networks are) is very broken. I have read papers about neural coding and neurons are able to encode information in the spike timing frequency and in the strength (weight) but non of those two mechanisms even begin to explain how the system works.
Anyway to answer your comment you have a tentative point but mostly unknown. It is unknown how much percent of human axons are in the cerebrum vs the cerebellum. I would be surprised if the cerebellum would have less since I expect some kind of neuron/axon proportionality. Especially since the main neuron type in the cerebellum are highly branchial.
what. an axon is a component of a neuron
are you referring to glia?