In this paper we show how to construct the Evans function for traveling wave solutions of integral neural field equations when the firing rate function is a Heaviside. This allows a discussion of wave stability and bifurcation as a function of system parameters, including the speed and strength of synaptic coupling and the speed of axonal signals. The theory is illustrated with the construction and stability analysis of front solutions to a scalar neural field model and a limiting case is shown to recover recent results of L. Zhang [On stability of traveling wave solutions in synaptically coupled neuronal networks, Differential and Integral Equations, 16, (2003), pp.513-536.]. Traveling fronts and pulses are considered in more general mo...
One-dimensional neural networks comprised of large numbers of Integrate-and-Fire neurons have been w...
At one level of abstraction neural tissue can be regarded as a medium for turning local synaptic act...
Field models provide an elegant mathematical framework to analyze large-scale patterns of neural act...
In this paper we show how to construct the Evans function for traveling wave solutions of integral n...
We study the existence, uniqueness, and stability of traveling waves in neural field models under va...
We consider a firing rate and a spike frequency adaptation (SFA) model of a one-dimensional neuronal...
Many tissue level models of neural networks are written in the language of nonlinear integro-differe...
We study the existence and stability of traveling waves and pulses in a one-dimensional network of i...
Many tissue level models of neural networks are written in the language of nonlinear integro-differe...
The understanding of how spatio-temporal patterns of neural activity may arise in the cortex of the ...
Travelling waves of activity have been experimentally observed in many neural systems. The functiona...
The understanding of how spatio-temporal patterns of neural activity may arise in the cortex of the ...
The understanding of how spatio-temporal patterns of neural activity may arise in the cortex of the ...
We consider travelling waves (fronts, pulses and periodics) in spatially extended one dimensional ne...
A stability analysis is presented for neural field equations in the presence of axonal delays and fo...
One-dimensional neural networks comprised of large numbers of Integrate-and-Fire neurons have been w...
At one level of abstraction neural tissue can be regarded as a medium for turning local synaptic act...
Field models provide an elegant mathematical framework to analyze large-scale patterns of neural act...
In this paper we show how to construct the Evans function for traveling wave solutions of integral n...
We study the existence, uniqueness, and stability of traveling waves in neural field models under va...
We consider a firing rate and a spike frequency adaptation (SFA) model of a one-dimensional neuronal...
Many tissue level models of neural networks are written in the language of nonlinear integro-differe...
We study the existence and stability of traveling waves and pulses in a one-dimensional network of i...
Many tissue level models of neural networks are written in the language of nonlinear integro-differe...
The understanding of how spatio-temporal patterns of neural activity may arise in the cortex of the ...
Travelling waves of activity have been experimentally observed in many neural systems. The functiona...
The understanding of how spatio-temporal patterns of neural activity may arise in the cortex of the ...
The understanding of how spatio-temporal patterns of neural activity may arise in the cortex of the ...
We consider travelling waves (fronts, pulses and periodics) in spatially extended one dimensional ne...
A stability analysis is presented for neural field equations in the presence of axonal delays and fo...
One-dimensional neural networks comprised of large numbers of Integrate-and-Fire neurons have been w...
At one level of abstraction neural tissue can be regarded as a medium for turning local synaptic act...
Field models provide an elegant mathematical framework to analyze large-scale patterns of neural act...