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FitzHugh-Nagumo System: Difference between revisions

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<math>
<math>
\epsilon v_t(x,t)=\epsilon^2v_{xx}(x,t)+f(v(x,t))-w(x,t)+g, \\
\epsilon v_t(x,t)=\epsilon^2v_{xx}(x,t)+f(v(x,t))-w(x,t)+g,
</math>
</math>


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  w_t(x,t)=hv(x,t)-\gamma w(x,t)+g,
  w_t(x,t)=hv(x,t)-\gamma w(x,t)+g,
</math>
</math>
with <math>f(v)=v(v-0.1)(1-v)</math> and initial and boundary conditions
<math>
  v(x,0)=0,\quad w(x,0)=0, \quad x\in [0,1],
</math>
<math>
  v_x(0,t)=-i_0(t), \quad v_x(1,t)\quad =0, \quad t \geq 0,
</math>
where <math>\epsilon=0.015,\;h=0.5,\;\gamma=2,\;g=0.05,\;i_0(t)=5\cdot
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]]


==References==
==References==

Revision as of 15:37, 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.

File:FHN.jpg

References

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