Robinson P A, Henderson J A, Matar E, Riley P, Gray R T
School of Physics, University of Sydney, Sydney, New South Wales 2006, Australia.
Phys Rev Lett. 2009 Sep 4;103(10):108104. doi: 10.1103/PhysRevLett.103.108104.
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.
在网络连通性动态变化下的稳定性与先前的标准一同被用来约束脑网络架构。引入了一种新的分层网络，它不同于更常被研究的规则、随机和小世界网络，满足所有这些约束条件。结果表明，分层网络可以同时具有高聚类性、短路径长度和低布线成本，并且在子结构大规模重新连接时具有强大的稳定性。
