Fully analytical solution for the "Leaky Integrate and Fire" Neuron model

In summary, the conversation discusses the possibility of developing a fully analytical solution for a leaky integrate and fire neuron driven by arbitrary time-varying current. Some equations and notations are provided, and a possible solution is suggested using Laplace Transforms. However, the difficulty lies in determining the value inside the delta function through the dynamics. It is suggested to move the discussion to a differential equations sub-forum for further exploration.
  • #1
madness
815
70
Does anyone know if it is possible to develop a fully analytical solution for a leaky integrate and fire neuron driven by arbitrary time-varying current? Here's what I have so far (setting as many possible constants to 0 and 1):

The equations:

## \dot{V} = - V + I(t) ## and if ##V(t) = 1## then ## \lim_{\epsilon\rightarrow 0} V(t + |\epsilon|) = 0 ##

Some further notation:

Let ##\{ t^{(1)}, t^{(2)}, ...\} = \{ t: V(t) = 1\} ##

My attempt at a solution:

We can solve when not spiking as ## V(t) = V(t_0) e^{-t} + \int_{t_0}^t e^{-t'} I(t-t') dt' ##.

So the solution in general for ##t^{(i-1)} < t < t^{(i)} ## is ## V(t) = \int_{t^{(i-1)}}^{t} e^{-t'} I(t-t') dt' ##.

We can also write the general equation as ## \dot{V} = - V + I(t) - \sum_i \delta(t-t^{(i)}) ##.

It looks almost possible to solve these equations for the spike times ##t^{(i)}## but I'm not sure whether it can be done. We can write ## 1 = \int_{t^{(i-1)}}^{t^{(i)}} e^{-t'} I(t-t') dt' ##, but I don't think spike times can be found from this analytically for arbitrary ##I(t)##. I guess what I'd really like is way to plug something for ##t^{(i)}## into the equation ## \dot{V} = - V + I(t) - \sum_i \delta(t-t^{(i)}) ## and make things a bit more explicit, even if it ends up being a self-consistent equation.
 
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  • #2
Not my area at all...

This search on Google scholar gave me 5 "good" hits:
model for a leaky integrate and fire neuron driven by arbitrary time-varying current

Spikes are mentioned in two of them.
 
  • #3
I haven't yet seen a fully analytical solution for abitrary input currents. I notice that we can write my equation as ##\dot{V} = -V -\delta(V-1) + I(t)##. It's an extremely compact equation when written this way, but can one write down the general solution?
 
  • #4
madness said:
Does anyone know if it is possible to develop a fully analytical solution for a leaky integrate and fire neuron driven by arbitrary time-varying current?

This reference: Leaky integrate and fire model has solution for general ##I(t)##:

##
\displaystyle v(t)=v_r\exp\left(-\frac{t-t_0}{\tau_m}\right)+\frac{R}{\tau_m}\int_0^{t-t_0} \exp\left(-
\frac{s}{\tau_m}\right)I(t-s)ds
##
 
  • #5
That's the solution to the the passive equation without spiking, i.e., ##\dot{V} = -V + I(t)##. The full equation is ##\dot{V} = -V + I(t) - \delta(V-1)## (for ##V_r = 0## and##\tau_m=1##, which I've assumed to make things simpler).
 
  • #6
madness said:
That's the solution to the the passive equation without spiking, i.e., ##\dot{V} = -V + I(t)##. The full equation is ##\dot{V} = -V + I(t) - \delta(V-1)## (for ##V_r = 0## and##\tau_m=1##, which I've assumed to make things simpler).

Ok, then just a long-shot: The pendulum with a unit impulse ##y''+ay'+by=\delta(t-1)## is solved via Laplace Transforms. Perhaps you can tailor the method to your equation. Also, perhaps would be a good idea to move to differential equations sub-forum.
 
  • #7
aheight said:
Ok, then just a long-shot: The pendulum with a unit impulse ##y''+ay'+by=\delta(t-1)## is solved via Laplace Transforms. Perhaps you can tailor the method to your equation. Also, perhaps would be a good idea to move to differential equations sub-forum.

Thanks. As far as I can see, the fact that the thing inside the delta function has to be determined through the dynamics is what makes this harder in my case. I think you might be right about moving to differential equations - it was only after I started the thread that I understood how compactly the model can be written as an ODE.
 
  • #8
If you want the thread moved, please report it (bottom most faint characters in any post), and ask to move it. No problem. Or start completely new thread where it fits better.
 

1. What is the "Leaky Integrate and Fire" Neuron model?

The "Leaky Integrate and Fire" Neuron model is a mathematical model used to describe the behavior of a neuron in response to incoming signals. It takes into account the neuron's membrane potential and the flow of ions across the membrane.

2. Why is a fully analytical solution important for this model?

A fully analytical solution allows for a more precise and accurate understanding of the behavior of the neuron. It also allows for easier manipulation and analysis of the model's parameters.

3. How is the fully analytical solution derived for the "Leaky Integrate and Fire" Neuron model?

The fully analytical solution is derived by solving the differential equations that describe the behavior of the neuron. This involves using mathematical techniques such as separation of variables and integration.

4. What are the advantages of using a fully analytical solution over a numerical solution?

A fully analytical solution provides a closed-form expression for the behavior of the neuron, allowing for a deeper understanding of the model. It also eliminates errors that may occur in numerical approximations and allows for quicker computation.

5. Can the fully analytical solution be applied to other neuron models?

Yes, the fully analytical solution can be applied to other neuron models as long as they are described by similar differential equations. However, the specific parameters and equations may differ for each model.

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