Linear-nonlinear-Poisson cascade model
The linear-nonlinear-Poisson (LNP) cascade model is a simplified functional model of neural spike responses. It has been successfully used to describe the response characteristics of neurons in early sensory pathways, especially the visual system.
Source: Wikipedia — Linear-nonlinear-Poisson cascade model (CC BY-SA 4.0)