Ah okay I see, thank you.
When determining the parameters used for different neurons. I found a 2010 paper by Kumar et al. Which details two optimisation problems (one constrained, the other unconstrained). The problems are based on experimental ISI data. What I want to do is use these optimisation problems to derive optimal parameters for the neurons I am trying to model, where the ISI data I want to use is from another model (someone else in my departments spiking neural network for her PhD).
I will link the paper here of the optimisation problems: (PDF) Optimal parameter estimation of the Izhikevich single neuron model using experimental Inter-Spike Interval (ISI) data
Has anyone had any experience solving these problems to find optimal parameters for their models? How effective was this system in finding parameters which gave meaningful results, and would anyone reccomend another techinque or have any other advice?
Thanks!