  The field of computational modeling of the brain is advancing so rapidly that
now it is possible to model large scale networks representing different brain
regions with a high level of biological detail in terms of numbers and
synapses. For a theoretician approaching a neurobiological question, it is
important to analyze the pros and cons of each of the models available. Here,
we provide a tutorial review on recent models for different brain circuits,
which are based on experimentally obtained connectivity maps. We discuss
particularities that may be relevant to the modeler when choosing one of the
reviewed models. The objective of this review is to give the reader a fair
notion of the computational models covered, with emphasis on the corresponding
connectivity maps, and how to use them.
