Jump to content

Linear-nonlinear-Poisson cascade model

From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by JonathanWilliford (talk | contribs) at 02:00, 12 October 2008 (Just added another reference.). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

Linear-nonlinear-Poisson (LNP) cascade models [1][2] are used to encode the stimuli of neural ensembles.

The Linear-Nonlinear-Poisson Cascade Model

References

  1. ^ Simoncelli, E. P., Paninski, L., Pillow, J. & Swartz, O. in The Cognitive Neurosciences 3rd edn (ed. Gazzaniga, M.) 327-338 (MIT, 2004)
  2. ^ Chichilnisky, E. J., A simple white noise analysis of neuronal light responses. Network: Computation in Neural Systems 12:199-213. (2001)