Polychronization: Computation with Spikes

Polychronization: Computation With Spikes.
Eugene M. Izhikevich
Neural Computation (2006) 18:245-282

The major result of this article is that spiking networks with delays have more groups than neurons. Thus, the system has potentially enormous memory capacity and will never run out of groups, which could explain how networks of mere 10¹¹ neurons (the size of the human neocortex) could have such a diversity of behavior. Of course, we need to learn how to use this extraordinary property in models. (p.270)