AbstractWe consider a coupled system of simple neural oscillators. Using the symmetric functional differential equation theories of Wu [J. Wu, Symmetric functional differential equations and neural networks with memory, Transactions of the American Mathematical Society 350 (12) (1998) 4799–4838], we demonstrate the multiple Hopf bifurcations of the equilibrium at the origin. The existence of multiple branches of bifurcating periodic solution is obtained. Then some numerical simulations support our analysis results
A symmetric BAM neural network model with delay is considered. Some results of Hopf bifurcations oc...
Current studies in neurophysiology award a key role to collective behaviors in both neural informat...
System of delayed differential equations is used to model a pair of FitzHugh- Nagumo excitable syste...
AbstractWe consider a coupled system of simple neural oscillators. Using the symmetric functional di...
AbstractA symmetric BAM neural network model with delay is considered. Some results of Hopf bifurcat...
AbstractIn this paper, a coupled FitzHugh–Nagumo (FHN) neural system with time delay has been propos...
AbstractIn this paper, we consider a ring of identical neurons with self-feedback and delays. Based ...
In this paper, a delayed neural network with unidirectional coupling is considered which consists of...
AbstractWe consider a network of two coupled neurons with delayed feedback. We show that the connect...
We study a model for a network of synaptically coupled, excitable neurons to identify the role of co...
The dynamical behavior of a delayed neural network with bi-directional coupling is investigated by t...
This paper investigates a neural network modeled by a scalar delay differential equation. The focus ...
AbstractA neural network model with three neurons and a single time delay is considered. Its linear ...
AbstractWe consider a delay differential equation modelling a network of two neurons with memory. Th...
AbstractWe consider the synchronized periodic oscillation in a ring neural network model with two di...
A symmetric BAM neural network model with delay is considered. Some results of Hopf bifurcations oc...
Current studies in neurophysiology award a key role to collective behaviors in both neural informat...
System of delayed differential equations is used to model a pair of FitzHugh- Nagumo excitable syste...
AbstractWe consider a coupled system of simple neural oscillators. Using the symmetric functional di...
AbstractA symmetric BAM neural network model with delay is considered. Some results of Hopf bifurcat...
AbstractIn this paper, a coupled FitzHugh–Nagumo (FHN) neural system with time delay has been propos...
AbstractIn this paper, we consider a ring of identical neurons with self-feedback and delays. Based ...
In this paper, a delayed neural network with unidirectional coupling is considered which consists of...
AbstractWe consider a network of two coupled neurons with delayed feedback. We show that the connect...
We study a model for a network of synaptically coupled, excitable neurons to identify the role of co...
The dynamical behavior of a delayed neural network with bi-directional coupling is investigated by t...
This paper investigates a neural network modeled by a scalar delay differential equation. The focus ...
AbstractA neural network model with three neurons and a single time delay is considered. Its linear ...
AbstractWe consider a delay differential equation modelling a network of two neurons with memory. Th...
AbstractWe consider the synchronized periodic oscillation in a ring neural network model with two di...
A symmetric BAM neural network model with delay is considered. Some results of Hopf bifurcations oc...
Current studies in neurophysiology award a key role to collective behaviors in both neural informat...
System of delayed differential equations is used to model a pair of FitzHugh- Nagumo excitable syste...