This chapter discusses the automated parameter-fitting methods and describes how to tune parameters in an efficient way. It tries to minimize the fitness values. Fitness functions are introduced for two concrete and common examples in the field of neuroscience“activation curves and electrophysiological traces“and the most traditional algorithms for current problems are addressed. The chapter then considers more complex problems and how they are handled, without entering into detailed descriptions of the machinery, and shows that an algorithm which is optimal for one problem will be poor for others.
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