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FitzHugh-Nagumo System: Difference between revisions

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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.jpg]]
[[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 i0(t) exceeds a certain threshold value, the system will exhibit a characteristic excursion in phase space, before the variables v and w relax back to their rest values. This behaviour is typical for spike generations (=short elevation of membrane voltage v) 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

ϵvt(x,t)=ϵ2vxx(x,t)+f(v(x,t))w(x,t)+g,

wt(x,t)=hv(x,t)γw(x,t)+g,

with f(v)=v(v0.1)(1v) and initial and boundary conditions

v(x,0)=0,w(x,0)=0,x[0,1],

vx(0,t)=i0(t),vx(1,t)=0,t0,

where ϵ=0.015,h=0.5,γ=2,g=0.05,i0(t)=5104t3exp(15t). In [1], the previous system of coupled nonlinear PDEs is spatially discretized by means of a finite difference scheme with k=512 nodes for each PDE. Hence, one obtains a nonlinear (cubic) system of ODEs with state dimension n=1024.

References

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