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10^4t^3 \exp(-15t).</math> In [1], the previous system of coupled nonlinear PDEs is spatially discretized by means of a finite difference scheme with <math>k=512 </math> nodes for each PDE. Hence, one obtains a nonlinear (cubic) system of ODEs with state dimension <math>n=1024. </math> | 10^4t^3 \exp(-15t).</math> In [1], the previous system of coupled nonlinear PDEs is spatially discretized by means of a finite difference scheme with <math>k=512 </math> nodes for each PDE. Hence, one obtains a nonlinear (cubic) system of ODEs with state dimension <math>n=1024. </math> | ||
[[File:FHN. | [[File:FHN.png]] | ||
==References== | ==References== | ||
Revision as of 15:41, 20 November 2012
Description
The FitzHugh-Nagumo system describes a prototype of an excitable system (e.g., a neuron). If the external stimulus exceeds a certain threshold value, the system will exhibit a characteristic excursion in phase space, before the variables and relax back to their rest values. This behaviour is typical for spike generations (=short elevation of membrane voltage ) in a neuron after stimulation by an external input current.
Here, we present the setting from [1], where the equations for the dynamical system read
with and initial and boundary conditions
where In [1], the previous system of coupled nonlinear PDEs is spatially discretized by means of a finite difference scheme with nodes for each PDE. Hence, one obtains a nonlinear (cubic) system of ODEs with state dimension
References
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