Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
411211 | Neurocomputing | 2007 | 13 Pages |
Abstract
The stability and dispersion spectrum of random excitatory networks of brain components is investigated using a physiological model of brain electrical activity. Stability is shown to sharply constrain the structural parameters of these networks, with a critical point that limits the product of network size, connection probability, and connection strength. This constraint is verified numerically and also has a weak effect on network symmetry. Experimentally determined cortical networks, having a structure intermediate between regular and random networks, are shown to be less stable than a random network with a similar number of components and connections.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
R.T. Gray, P.A. Robinson,