The #CampbellSiegert approximation is a method used in #ComputationalNeuroscience to estimate the #firingrate of a #neuron given a certain input. This approximation is particularly useful for analyzing the firing behavior of neurons that follow a leaky #IntegrateAndFire (#LIF) model or similar models under the influence of stochastic input currents. Here is a short #tutorial that introduces the concept in more detail:

https://www.fabriziomusacchio.com/blog/2024-09-04-campbell_siegert_approximation/

Here is a #PythonTutorial on how to simulate the leaky #IntegrateAndFire model (#LIF), including an interactive #Juypter notebook to play around with :

https://www.fabriziomusacchio.com/blog/2023-07-03-integrate_and_fire_model/