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Contribution to Book
A Population Density Model of the Driven LGN/PGN
Arts & Sciences Book Chapters
  • Marco A. Huertas
  • Gregory D. Smith, William & Mary
Document Type
Book Chapter
Department/Program
Applied Science
Publication Date
1-1-2009
Book Title
Stochastic Methods in Neuroscience
Publisher
Oxford University Press
Editor
Carlo Laing and Gabriel J Lord
DOI
https://www.doi.org/10.1093/acprof:oso/9780199235070.001.0001
Abstract

The interaction of two populations of integrate-and-fire-or-burst neurons representing thalamocortical cells from the dorsal lateral geniculate nucleus (dLGN) and thalamic reticular cells from the perigeniculate nucleus (PGN) is studied using a population density approach. A two-dimensional probability density function that evolves according to a time-dependent advection-reaction equation gives the distribution of cells in each population over the membrane potential and de-inactivation level of a low-threshold calcium current. In the absence of retinal drive, the population density network model exhibits rhythmic bursting. In the presence of constant retinal input, the aroused LGN/PGN population density model displays a wide range of responses depending on cellular parameters and network connectivity.

ISBN
9780199235070
Disciplines
Citation Information
Marco A. Huertas and Gregory D. Smith. "A Population Density Model of the Driven LGN/PGN" (2009)
Available at: http://works.bepress.com/gregory-smith/50/