In this paper, we consider a two-neuron system with time-delayed connections between neurons. By analyzing the associated characteristic transcendental equation, its linear stability is investigated and Hopf bifurcation is demonstrated. Some explicit formulae for determining the stability and the direction of the Hopf bifurcation periodic solutions bifurcating from Hopf bifurcations are obtained by using the normal form theory and center manifold theory. Some numerical simulation results are given to support the theoretical predictions. Finally, main conclusions are given
AbstractWe consider the synchronized periodic oscillation in a ring neural network model with two di...
AbstractIn this paper, a predator–prey system with two delays is investigated. By choosing the sum τ...
In this paper, a coupled FitzHugh–Nagumo (FHN) neural system with time delay has been proposed and i...
We study the stability and Hopf bifurcation analysis of a coupled two-neuron system involving both d...
AbstractWe consider a network of two coupled neurons with delayed feedback. We show that the connect...
In this paper, we give a detailed Hopf bifurcation analysis of a recurrent neural network system inv...
A delay-differential system modelling an artificial neural network with two neurons is investigated....
AbstractWe consider a delay differential equation modelling a network of two neurons with memory. Th...
AbstractA neural network model with three neurons and a single time delay is considered. Its linear ...
[[abstract]]In this paper we study the stability and bifurcation of the trivial solution of a two-ne...
In this paper, a general two-neuron model with distributed delays, self-feedbacks and a weak kernel ...
In this paper, a delayed neural network with unidirectional coupling is considered which consists of...
The dynamical behavior of a delayed neural network with bi-directional coupling is investigated by t...
AbstractWe consider a discrete-time system modelling a network of two neurons. The situationwith sel...
Recent studies on Hopf bifurcations of neural networks with delays are confined to simplified neural...
AbstractWe consider the synchronized periodic oscillation in a ring neural network model with two di...
AbstractIn this paper, a predator–prey system with two delays is investigated. By choosing the sum τ...
In this paper, a coupled FitzHugh–Nagumo (FHN) neural system with time delay has been proposed and i...
We study the stability and Hopf bifurcation analysis of a coupled two-neuron system involving both d...
AbstractWe consider a network of two coupled neurons with delayed feedback. We show that the connect...
In this paper, we give a detailed Hopf bifurcation analysis of a recurrent neural network system inv...
A delay-differential system modelling an artificial neural network with two neurons is investigated....
AbstractWe consider a delay differential equation modelling a network of two neurons with memory. Th...
AbstractA neural network model with three neurons and a single time delay is considered. Its linear ...
[[abstract]]In this paper we study the stability and bifurcation of the trivial solution of a two-ne...
In this paper, a general two-neuron model with distributed delays, self-feedbacks and a weak kernel ...
In this paper, a delayed neural network with unidirectional coupling is considered which consists of...
The dynamical behavior of a delayed neural network with bi-directional coupling is investigated by t...
AbstractWe consider a discrete-time system modelling a network of two neurons. The situationwith sel...
Recent studies on Hopf bifurcations of neural networks with delays are confined to simplified neural...
AbstractWe consider the synchronized periodic oscillation in a ring neural network model with two di...
AbstractIn this paper, a predator–prey system with two delays is investigated. By choosing the sum τ...
In this paper, a coupled FitzHugh–Nagumo (FHN) neural system with time delay has been proposed and i...