A big question in neuroscience is how neural activity represents knowledge. We can use modelling to explore how different levels of neural activity- subthreshold currents, action potentials, local field potentials, etc.- relate to one another and, finally, to behavior.
Some models simulate behavior, for example which color flowers a bee prefers or how a mouse will navigate the Morris water maze. (Think Ch. 9 in Dayan & Abbot (2001).)
Other models simulate the behavior of groups of neurons. Some of those even address what knowledge that activity could be representing. (Think Ch 10 in Dayan & Abbot (2001).)
What are examples of linking the two? (I'm aware of computational limitations, aside from computing power such as the foolishness of simulating stiff equations for long periods of time. )
EDIT: One example is exploring how local field potentials (LFPs) could arise from networks of integrate-and-fire neurons. Earlier models of LFPs were phenomonological. They were simply coupled oscillators with different time constants and so didn't allow one to see how more detailed levels of description could create LFPs.