Construct · 1 fields · 1 citations

linear-nonlinear-Poisson model: a standalone construct

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Computational neuroscience

cascade description of a sensory neuron as a linear filter, a static nonlinearity and Poisson spike generation, estimated from responses to white noise.

In computational neuroscience, linear-nonlinear-Poisson model refers to cascade description of a sensory neuron as a linear filter, a static nonlinearity and Poisson spike generation, estimated from responses to white noise. This meaning comes from Chichilnisky (2001) in Network: Computation in Neural Systems.[1]

Unit
Recovery means
Measured by

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Nearby constructs

cascade4 fields · 4 citationsjingle · one word, four constructs filter3 fields · 3 citationsjingle · one word, three constructs generation2 fields · 4 citationsjingle · one word, two constructs

References

Chichilnisky, E. J. (2001). A simple white noise analysis of neuronal light responses. Network: Computation in Neural Systems, 12(2), 199-213. https://doi.org/10.1080/713663221

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