I was able to find many posts on how to pick a good number of segments with the d_lambda rule, and also symptoms of the discretization being too coarse for the model parameters, but what I really want to know is what is the typical number of compartments necessary to model a typical neuron. I don't need anything too exact. Just an order of magnitude would be wonderful. Is it 10, 100, 1000, 10000, 100000, etc?

I ask because I'm looking into the feasibility of a project idea I've had for a while and the determining factor is the number of compartments. Essentially, my idea is to solve for some of the compartment voltages implicitly in the algorithm, and only explicitly compute and store the remaining compartments. Hopefully this can cut down on memory access and decrease computation time.

Also, I know that an academic with free time is almost an oxymoron, but if anyone is interested in what I'm trying to do, I'd love to have a chat!