A model that shows how oscillations in different neuron populations can drive each other towards synchrony at different frequencies. The system can fall into a mode in which it explores synchrony across a range of oscillations. Among other things, the model shows how oscillations across neurons can be highly dynamic yet their synchroncy can be stable. The idea that oscillatory synchrony provides communication channels between neurons has been criticized because the frequencies bounce around and therefore are not stable enough to support communication . This model shows that synchrony is stable even if the exact frequency is not. (BTW, no one complains that the activity of single neurons bounce around).
For a discussion of the role of synchrony in neural communication see:
Miller, E.K. and Buschman, T.J. (2013) Cortical circuits for the control of attention. Current Opinion in Neurobiology. 23:216–222 View PDF »
About the Author
The Miller Lab uses experimental and theoretical approaches to study the neural basis of the high-level cognitive functions that underlie complex goal-directed behavior. ekmillerlab.mit.edu