Add to ORKGIn this note the Authors review some recent results on bifurcations and complex dynamics occurring in certain classes of neural networks where the neuron interconnection matrix is close to some nominal symmetric one. The results are relevant in view of addressing robustness of complete stability (convergence of trajectories) with respect to perturbations of nominal symmetric neural networks
The issue of the loss of complete stability for a class of cellular neural networks (CNNs) is analyz...
It is known that symmetric cellular neural networks (CNNs) are completely stable, i.e., each traject...
This paper deals with a class of large-scale nonlinear dynamical systems, namely the additive neural...
In this note the Authors review some recent results on bifurcations and complex dynamics occurring i...
The symmetry of the neuron interconnection matrix ensures that additive neural networks are complete...
This paper provides a structural condition on the nominal symmetric interconnection matrix of a neur...
The paper analyzes bifurcations and complex dynamics in a class of nearly symmetric standard cellula...
When the neuron interconnection matrix is symmetric, the standard Cellular Neural Networks (CNN's) i...
Globally convergent dynamics of a class of neural networks with normal connection matrices is studie...
Globally convergent dynamics of a class of neural networks with normal connection matrices is studie...
This paper further investigates a basic issue that has received attention in the recent literature, ...
In this paper, the possible presence of complex dynamics in nearly-symmetric standard Cellular Neura...
The issue of the loss of complete stability for a class of cellular neural networks (CNNs) is analyz...
It is known that symmetric cellular neural networks (CNNs) are completely stable, i.e., each traject...
This paper deals with a class of large-scale nonlinear dynamical systems, namely the additive neural...
In this note the Authors review some recent results on bifurcations and complex dynamics occurring i...
The symmetry of the neuron interconnection matrix ensures that additive neural networks are complete...
This paper provides a structural condition on the nominal symmetric interconnection matrix of a neur...
The paper analyzes bifurcations and complex dynamics in a class of nearly symmetric standard cellula...
When the neuron interconnection matrix is symmetric, the standard Cellular Neural Networks (CNN's) i...
Globally convergent dynamics of a class of neural networks with normal connection matrices is studie...
Globally convergent dynamics of a class of neural networks with normal connection matrices is studie...
This paper further investigates a basic issue that has received attention in the recent literature, ...
In this paper, the possible presence of complex dynamics in nearly-symmetric standard Cellular Neura...
The issue of the loss of complete stability for a class of cellular neural networks (CNNs) is analyz...
It is known that symmetric cellular neural networks (CNNs) are completely stable, i.e., each traject...
This paper deals with a class of large-scale nonlinear dynamical systems, namely the additive neural...