Temporal aspects of neuronal activity have received increasing attention in
recent years. Oscillatory dynamics and the synchronization of neuronal act
ivity are hypothesized to be of functional relevance to information process
ing in the brain. Here we review theoretical studies of single neurons at d
ifferent levels of abstraction, with an emphasis on the implications for pr
operties of networks composed of such units. We then discuss the influence
of different types of couplings and choices of parameters to the existence
of a stable state of synchronous or oscillatory activity. Finally we relate
these theoretical studies to the available experimental data, and suggest
future lines of research.