Dynamic instabilities in scalar neural field equations with space-dependent delays

In this paper we consider a class of scalar integral equations with a form of space-dependent delay. These non-local models arise naturally when modelling neural tissue with active axons and passive dendrites. Such systems are known to support a dynamic (oscillatory) Turing instability of the hom...

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Main Authors: Venkov, Nikola Atanasov, Coombes, Stephen, Matthews, Paul C
Format: Article
Published: 2007
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Online Access:https://eprints.nottingham.ac.uk/497/
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author Venkov, Nikola Atanasov
Coombes, Stephen
Matthews, Paul C
author_facet Venkov, Nikola Atanasov
Coombes, Stephen
Matthews, Paul C
author_sort Venkov, Nikola Atanasov
building Nottingham Research Data Repository
collection Online Access
description In this paper we consider a class of scalar integral equations with a form of space-dependent delay. These non-local models arise naturally when modelling neural tissue with active axons and passive dendrites. Such systems are known to support a dynamic (oscillatory) Turing instability of the homogeneous steady state. In this paper we develop a weakly nonlinear analysis of the travelling and standing waves that form beyond the point of instability. The appropriate amplitude equations are found to be the coupled mean-field Ginzburg-Landau equations describing a Turing-Hopf bifurcation with modulation group velocity of O(1). Importantly we are able to obtain the coefficients of terms in the amplitude equations in terms of integral transforms of the spatio-temporal kernels defining the neural field equation of interest. Indeed our results cover not only models with axonal or dendritic delays but those which are described by a more general distribution of delayed spatio-temporal interactions. We illustrate the predictive power of this form of analysis with comparison against direct numerical simulations, paying particular attention to the competition between standing and travelling waves and the onset of Benjamin-Feir instabilities.
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spelling nottingham-4972020-05-04T20:28:26Z https://eprints.nottingham.ac.uk/497/ Dynamic instabilities in scalar neural field equations with space-dependent delays Venkov, Nikola Atanasov Coombes, Stephen Matthews, Paul C In this paper we consider a class of scalar integral equations with a form of space-dependent delay. These non-local models arise naturally when modelling neural tissue with active axons and passive dendrites. Such systems are known to support a dynamic (oscillatory) Turing instability of the homogeneous steady state. In this paper we develop a weakly nonlinear analysis of the travelling and standing waves that form beyond the point of instability. The appropriate amplitude equations are found to be the coupled mean-field Ginzburg-Landau equations describing a Turing-Hopf bifurcation with modulation group velocity of O(1). Importantly we are able to obtain the coefficients of terms in the amplitude equations in terms of integral transforms of the spatio-temporal kernels defining the neural field equation of interest. Indeed our results cover not only models with axonal or dendritic delays but those which are described by a more general distribution of delayed spatio-temporal interactions. We illustrate the predictive power of this form of analysis with comparison against direct numerical simulations, paying particular attention to the competition between standing and travelling waves and the onset of Benjamin-Feir instabilities. 2007-05 Article PeerReviewed Venkov, Nikola Atanasov, Coombes, Stephen and Matthews, Paul C (2007) Dynamic instabilities in scalar neural field equations with space-dependent delays. neuronal networks integral equations space dependent delays dynamic pattern formation travelling waves amplitude equations
spellingShingle neuronal networks
integral equations
space dependent delays
dynamic pattern formation
travelling waves
amplitude equations
Venkov, Nikola Atanasov
Coombes, Stephen
Matthews, Paul C
Dynamic instabilities in scalar neural field equations with space-dependent delays
title Dynamic instabilities in scalar neural field equations with space-dependent delays
title_full Dynamic instabilities in scalar neural field equations with space-dependent delays
title_fullStr Dynamic instabilities in scalar neural field equations with space-dependent delays
title_full_unstemmed Dynamic instabilities in scalar neural field equations with space-dependent delays
title_short Dynamic instabilities in scalar neural field equations with space-dependent delays
title_sort dynamic instabilities in scalar neural field equations with space-dependent delays
topic neuronal networks
integral equations
space dependent delays
dynamic pattern formation
travelling waves
amplitude equations
url https://eprints.nottingham.ac.uk/497/