Linear-nonlinear-Poisson cascade model
id:
linear-nonlinear-poisson-cascade-model-193-11864444
title:
Linear-nonlinear-Poisson cascade model
text:
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. The LNP model is generally implicit when using reverse correlation or the spike-triggered average to characterize neural responses with white-noise stimuli. There are three stages of the LNP cascade model. The first stage consists of a linear filter, o
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Linear-nonlinear-Poisson_cascade_model
date created:
date modified:
2020-06-14T22:33:16Z
main entity:
{"identifier":"Q6553384","url":"https://www.wikidata.org/entity/Q6553384"}
image:
{"content_url":"https://upload.wikimedia.org/wikipedia/commons/1/1e/LNPModelDiagram.png","width":747,"height":243}
fields total:
13
integrity:
14