About: Linear-nonlinear-Poisson cascade model

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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. The model offers a useful approximation of neural activity, allowing scientists to derive reliable estimates from a mathematically simple formula.

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rdfs:label	Linear-nonlinear-Poisson cascade model (en)
rdfs:comment	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. The model offers a useful approximation of neural activity, allowing scientists to derive reliable estimates from a mathematically simple formula. (en)
foaf:depiction
dcterms:subject	Computational neuroscience Stochastic models
Wikipage page ID	19498707 (xsd:integer)
Wikipage revision ID	962584868 (xsd:integer)
Link from a Wikipage to another Wikipage	Biological neuron model Generalized linear model Computational neuroscience Feature space Dimensionality reduction Random neural network Receptive field Taylor series Stochastic models Hodgkin–Huxley model Integrate-and-fire Maximum likelihood Spike-triggered average Spike-triggered covariance Volterra series Poisson process Wiener kernel
sameAs	Linear-nonlinear-Poisson cascade model Linear-nonlinear-Poisson cascade model Linear-nonlinear-Poisson cascade model Linear-nonlinear-Poisson cascade model Linear-nonlinear-Poisson cascade model
thumbnail	wiki-commons:Special:FilePath/LNPModelDiagram.png?width=300
has abstract	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, or linear receptive field, which describes how the neuron integrates stimulus intensity over space and time. The output of this filter then passes through a nonlinear function, which gives the neuron's instantaneous spike rate as its output. Finally, the spike rate is used to generate spikes according to an inhomogeneous Poisson process. The linear filtering stage performs dimensionality reduction, reducing the high-dimensional spatio-temporal stimulus space to a low-dimensional feature space, within which the neuron computes its response. The nonlinearity converts the filter output to a (non-negative) spike rate, and accounts for nonlinear phenomena such as spike threshold (or rectification) and response saturation. The Poisson spike generator converts the continuous spike rate to a series of spike times, under the assumption that the probability of a spike depends only on the instantaneous spike rate. The model offers a useful approximation of neural activity, allowing scientists to derive reliable estimates from a mathematically simple formula. (en)
gold:hypernym	Model
prov:wasDerivedFrom	wikipedia-en:Linear-nonlinear-Poisson_cascade_model?oldid=962584868&ns=0
page length (characters) of wiki page	6596 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Linear-nonlinear-Poisson_cascade_model
is Link from a Wikipage to another Wikipage of	Biological neuron model Surround suppression Random neural network Spike-triggered average Spike-triggered covariance LNP Spike response model LNP model Linear-Nonlinear-Poisson
is Wikipage redirect of	LNP model Linear-Nonlinear-Poisson
is Wikipage disambiguates of	LNP
is foaf:primaryTopic of	wikipedia-en:Linear-nonlinear-Poisson_cascade_model

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