Our mathematical analysis reveals that electrical activity in a sheet of cortical tissue can have an infinite-dimensional attracting set. Adjacent networks may not interfere each other if their activity is sufficiently localized in space, a property seemingly crucial for long-term memory circuits.
On the Global Dynamics of an Electroencephalographic Mean Field Model of the Neocortex | SIAM Journal on Applied Dynamical Systems
This paper investigates the global dynamics of a mean field model of the electroencephalogram developed by Liley, Cadusch, and Dafilis [Network, 13 (2002), pp. 67--113]. The model is presented as a sy...
epubs.siam.org
