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jump boundary condtions for integrate-and-fire neurons

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Dear all,

I am trying to solve the Fokker-Planck equation

$$\tau \frac{\partial P(v,t)}{\partial t} = \frac{\sigma^{2}}{2}\frac{\partial^{2}P(v,t)}{\partial v^{2}} + \frac{\partial }{\partial v}\left((v-\mu)P(v,t)\right))$$

subject to the boundary conditions

$$ P(v_{t},t) = 0 $$

and

$$ P(v_{r}^{-},t) = P(v_{r}^{+},t) $$

as well as

$$ \frac{\partial P}{\partial v}(v_{r}^{-},t)-\frac{\partial P}{\partial v}(v_{r}^{+},t)= \frac{\partial P}{\partial v} (v_{t},t).$$

Here, $+$ and $-$ denote the right and left limit, respectively.

The domain of solution is the interval $$ \mathcal D = [v_{r},v_{t}].$$ I am both stuck with the weak formulation as well as the implementation of the jump boundary condition.

Many thanks for your help.

asked Nov 6, 2014 by wilhelmbraun FEniCS User (2,070 points)
retagged Nov 6, 2014 by wilhelmbraun
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