Recently, local bifurcation theory for delayed neural fields was developed. In this paper, we show how symmetry arguments and residue calculus can be used to simplify the computation of the spectrum in special cases and the evaluation of the normal form coefficients, respectively. This is done hand in hand with an extensive study of two pitchfork–Hopf bifurcations for a 1D neural field model with ‘Wizard hat’ type connectivity
AbstractWe consider a delay differential equation modelling a network of two neurons with memory. Th...
AbstractWe consider a network of two coupled neurons with delayed feedback. We show that the connect...
The dynamical behavior of a delayed neural network with bi-directional coupling is investigated by t...
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...
Neural fieldmodels with transmission delays may be cast as abstract delay differential equations (DD...
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...
This thesis deals with the development and analysis of neural fields and neural networks. Neural fie...
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...
Abstract. We introduce distributed axonal transmission speeds and a long-range constant feedback loo...
AbstractWe consider a delay differential equation modelling a network of two neurons with memory. Th...
AbstractWe consider a network of two coupled neurons with delayed feedback. We show that the connect...
The dynamical behavior of a delayed neural network with bi-directional coupling is investigated by t...
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...
Neural fieldmodels with transmission delays may be cast as abstract delay differential equations (DD...
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...
This thesis deals with the development and analysis of neural fields and neural networks. Neural fie...
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...
Abstract. We introduce distributed axonal transmission speeds and a long-range constant feedback loo...
AbstractWe consider a delay differential equation modelling a network of two neurons with memory. Th...
AbstractWe consider a network of two coupled neurons with delayed feedback. We show that the connect...
The dynamical behavior of a delayed neural network with bi-directional coupling is investigated by t...