"... We construct an
objective function that includes both time-aligned action potential shape error and errors in firing rate and firing regularity. We then
implement a variant of simulated annealing that introduces a recentering algorithm to handle infeasible points outside the boundary
constraints. We show how our objective function captures essential features of neuronal firing patterns, and why our boundary
management technique is superior to previous approaches."
Weaver CM, Wearne SL (2006) The role of action potential shape and parameter constraints in optimization of compartment models Neurocomputing 69:1053-1057
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