Non-linear dynamical models of brain activity can describe the spontan
eous emergence of large-scale coherent structures both in a temporal a
nd spatial domain. We discuss a number of discrete time dynamical neur
on models that illustrate some of the mechanisms involved. Of special
interest is the phenomenon of spatio-temporal stochastic resonance in
which coherent structures emerge as a result of the interaction of the
neuronal system with external noise at a given level punitive data. W
e then discuss the general role of stochastic noise in brain dynamics
and how similar concepts can be studied in the context of networks of
connected brains on the Internet.