Sure, parameters are not updated, but ANNs are universal approximates, so they can model whatever it is you envision this “scratch space” doing. Think about it like this: whatever gets put in to the scratch space would need to be deterministic based on the inputs, i.e. it would just be a store if some intermediate value computed by the network. So how would it fundamentally differ from the network itself.