We consider a ring of identical neurons with delayed nearest neighborhood inhibitory interaction. Under general conditions, such a network has a slowly oscillatory synchronous periodic solution which is completely characterized by a scalar delay di erential equation with negative feedback. Despite the fact that the slowly oscillatory periodic solution of the scalar equation is stable, we show that the associated synchronous solution is unstable if the size of the network is large
AbstractIn this article, we study a delayed frustrated network of two neurons. We obtain a two-dimen...
Dynamical networks with time delays can pose a considerable challenge for mathematical analysis. Her...
We study a model for a network of synaptically coupled, excitable neurons to identify the role of co...
We consider a ring of identical neurons with delayed nearest neighborhood inhibitory interaction. Un...
AbstractIn this paper, we consider a ring of identical neurons with self-feedback and delays. Based ...
We investigate the stability of synchronization in networks of delay-coupled excitable neural oscill...
Finite transmission times between neurons, referred to as delays, may appear in hardware implementat...
We consider arbitrarily large networks of pulse-coupled oscillators with non-zero delay where the co...
Neural circuits operate with delays over a range of time scales, from a few milliseconds in recurren...
This paper investigates a neural network modeled by a scalar delay differential equation. The focus ...
The human brain constitutes one of the most advanced networks produced by nature, consisting of bill...
We study the spatio-temporal dynamics of a multiplex network of delay-coupled FitzHugh–Nagumo oscill...
AbstractThis paper concerns a delayed neural network model xΔ(t)=−12x(t)+f(x(t−2)),t∈T=⋃k=0∞[2k,2k+1...
In this paper, we study the effect of two distinct discrete delays on the dynamics of a Wilson-Cowan...
We analyze the dynamic behavior of large two-dimensional systems of limit-cycle oscillators with ran...
AbstractIn this article, we study a delayed frustrated network of two neurons. We obtain a two-dimen...
Dynamical networks with time delays can pose a considerable challenge for mathematical analysis. Her...
We study a model for a network of synaptically coupled, excitable neurons to identify the role of co...
We consider a ring of identical neurons with delayed nearest neighborhood inhibitory interaction. Un...
AbstractIn this paper, we consider a ring of identical neurons with self-feedback and delays. Based ...
We investigate the stability of synchronization in networks of delay-coupled excitable neural oscill...
Finite transmission times between neurons, referred to as delays, may appear in hardware implementat...
We consider arbitrarily large networks of pulse-coupled oscillators with non-zero delay where the co...
Neural circuits operate with delays over a range of time scales, from a few milliseconds in recurren...
This paper investigates a neural network modeled by a scalar delay differential equation. The focus ...
The human brain constitutes one of the most advanced networks produced by nature, consisting of bill...
We study the spatio-temporal dynamics of a multiplex network of delay-coupled FitzHugh–Nagumo oscill...
AbstractThis paper concerns a delayed neural network model xΔ(t)=−12x(t)+f(x(t−2)),t∈T=⋃k=0∞[2k,2k+1...
In this paper, we study the effect of two distinct discrete delays on the dynamics of a Wilson-Cowan...
We analyze the dynamic behavior of large two-dimensional systems of limit-cycle oscillators with ran...
AbstractIn this article, we study a delayed frustrated network of two neurons. We obtain a two-dimen...
Dynamical networks with time delays can pose a considerable challenge for mathematical analysis. Her...
We study a model for a network of synaptically coupled, excitable neurons to identify the role of co...