Dynamical reconnection and stability constraints on cortical network architecture.
Stability under dynamical changes to network connectivity is invoked alongside previous criteria to constrain brain network architecture. A new hierarchical network is introduced that satisfies all these constraints, unlike more commonly studied regular, random, and small-world networks. It is shown that hierarchical networks can simultaneously have high clustering, short path lengths, and low wiring costs, while being robustly stable under large scale reconnection of substructures.
Robinson
P A
PA
School of Physics, University of Sydney, Sydney, New South Wales 2006, Australia.
Henderson
J A
JA
Matar
E
E
Riley
P
P
Gray
R T
RT
D001921:Brain / Q000502:physiology*; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology