From what I've come across on the web, most models of single neurons seem to focus on the "fast timescale", where electrical signals are transmitted from one neuron to another. However, neurons are also cells, with all the associated complexity that cells bring: from gene expression to biochemical reactions happening in response to these electrical signals, albeit on a slower timescale. Are there any single neuron models that attempt to integrate these various timescales?
I'm mainly interested in knowing about more realistic abstractions of neurons than those used in Artificial Neural Networks (ANNs) and so on. A key assumption I'm making is that neurons, being a type of cell, would have biochemical processes going on on a slower timescale that would modulate their 'spiking' behavior over time. Please correct me if this assumption is wrong.