First of all, I have seen different approaches in modeling neurons. P&R (and after them Schweighofer in 1999) omit specific compartment dimensions and calculate current densities using the compartment's surface area ratio, whereas other models, for instance in the NEURON environment use explicit compartment lengths and radii.
--> Why would they in the first approach choose to divide by compartment area? What do they gain? What do they lose?
Second, I would want to make a model that does implement the cell's dimensions from the P&R model. In order to do so, I have to choose the correct parameters.
--> What is the best approach to find these values? Should I just test a range of values and look which set of parameter values looks the most like the P&R model or is there something else you suggest?ted wrote:You have to figure out what surface areas your sections must have, and what conductance and capacitance densities they should have, and you have to choose the correct section diameter and length and Ra so that the series resistance between your compartments will be the same as P&R used. It's a pain but it's the way things are.
Looking forward to your response!