Numerical and qualitative stability analysis of ring and linear neural networks with a large number of neurons

Abstract

We describe the stability domain in the parameter space of a ring neural network with an unlimited number of neurons by means of the stability cones. We found that the stability domain expands, when the ring of neurons is broken. Networks are described by matrix delay differential higher order equations. © 2012 Academic Publications, Ltd.