This particular data trace was produced by a simulation.
The implementational details of the model that was used
are not strictly relevant to this tutorial, but some of you
will have to know, so here they are.
Before we start, it is useful to outline a strategy of how to proceed.
This is a "data-driven" problem, so it makes sense at this point to load our experimental data into the Multiple Run Fitter.
Step 2. Load the Experimental Data into the Multiple Run Fitter
Step 3. Specify the function we want to optimize
Step 4. Specify the parameters that will be adjusted
Step 5. Specify the criteria we want the function to satisfy
Step 6. Perform the optimization
Go back to the main page ("Using NEURON's Optimization Tools") to try the second tutorial.
Copyright © 2004 by N.T. Carnevale and M.L. Hines, All Rights Reserved.