Stability and spectra of randomly connected excitatory cortical networks

  • Authors:
  • R. T. Gray;P. A. Robinson

  • Affiliations:
  • School of Physics, The University of Sydney, NSW 2006, Sydney, Australia and Brain Dynamics Center, Westmead Millennium Institute, Westmead Hospital and Western Clinical School of the University o ...;School of Physics, The University of Sydney, NSW 2006, Sydney, Australia and Brain Dynamics Center, Westmead Millennium Institute, Westmead Hospital and Western Clinical School of the University o ...

  • Venue:
  • Neurocomputing
  • Year:
  • 2007

Quantified Score

Hi-index 0.01

Visualization

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.