Generative models of rich clubs in Hebbian neuronal networks and large-scale human brain networks.

ABSTRACT: Rich clubs arise when nodes that are 'rich' in connections also form an elite, densely connected 'club'. In brain networks, rich clubs incur high physical connection costs but also appear to be especially valuable to brain function. However, little is known about the selection pressures that drive their formation. Here, we take two complementary approaches to this question: firstly we show, using generative modelling, that the emergence of rich clubs in large-scale human brain networks can be driven by an economic trade-off between connection costs and a second, competing topological term. Secondly we show, using simulated neural networks, that Hebbian learning rules also drive the emergence of rich clubs at the microscopic level, and that the prominence of these features increases with le

SUBMITTER: Vertes PE 

PROVIDER: S-EPMC4150306 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature