Neural fieldmodels with transmission delays may be cast as abstract delay differential equations (DDE). The theory of dual semigroups (also called sun-star calculus) provides a natural framework for the analysis of a broad class of delay equations, among which DDE. In particular, it may be used advantageously for the investigation of stability and bifurcation of steady states. After introducing the neural field model in its basic functional analytic setting and discussing its spectral properties, we elaborate extensively an example and derive a characteristic equation. Under certain conditions the associated equilibrium may destabilise in a Hopf bifurcation. Furthermore, two Hopf curves may intersect in a double Hopf point in a two-dimensio...
Recently, local bifurcation theory for delayed neural fields was developed. In this paper, we show h...
Delayed neural field models can be viewed as a dynamical system in an appropriate functional analyti...
In this thesis I examine a delay differential equation model for an artificial neural network with t...
Neural fieldmodels with transmission delays may be cast as abstract delay differential equations (DD...
A neural field models the large scale behaviour of large groups of neurons. We extend previous resul...
A neural field models the large scale behaviour of large groups of neurons. We extend previous resul...
A neural field models the large scale behaviour of large groups of neurons. We extend previous resul...
A neural field models the large scale behaviour of large groups of neurons. We extend previous resul...
Delayed neural field models can be viewed as a dynamical system in an appropriate functional analyti...
The dynamical behavior of a delayed neural network with bi-directional coupling is investigated by t...
International audienceNeural field equations describe the activity of neural populations at a mesosc...
International audienceNeural field equations describe the activity of neural populations at a mesosc...
AbstractWe consider a delay differential equation modelling a network of two neurons with memory. Th...
Recently, local bifurcation theory for delayed neural fields was developed. In this paper, we show h...
Recently, local bifurcation theory for delayed neural fields was developed. In this paper, we show h...
Recently, local bifurcation theory for delayed neural fields was developed. In this paper, we show h...
Delayed neural field models can be viewed as a dynamical system in an appropriate functional analyti...
In this thesis I examine a delay differential equation model for an artificial neural network with t...
Neural fieldmodels with transmission delays may be cast as abstract delay differential equations (DD...
A neural field models the large scale behaviour of large groups of neurons. We extend previous resul...
A neural field models the large scale behaviour of large groups of neurons. We extend previous resul...
A neural field models the large scale behaviour of large groups of neurons. We extend previous resul...
A neural field models the large scale behaviour of large groups of neurons. We extend previous resul...
Delayed neural field models can be viewed as a dynamical system in an appropriate functional analyti...
The dynamical behavior of a delayed neural network with bi-directional coupling is investigated by t...
International audienceNeural field equations describe the activity of neural populations at a mesosc...
International audienceNeural field equations describe the activity of neural populations at a mesosc...
AbstractWe consider a delay differential equation modelling a network of two neurons with memory. Th...
Recently, local bifurcation theory for delayed neural fields was developed. In this paper, we show h...
Recently, local bifurcation theory for delayed neural fields was developed. In this paper, we show h...
Recently, local bifurcation theory for delayed neural fields was developed. In this paper, we show h...
Delayed neural field models can be viewed as a dynamical system in an appropriate functional analyti...
In this thesis I examine a delay differential equation model for an artificial neural network with t...