A Population Density Model of the Driven LGN/PGN

Authors

Marco A. Huertas
Gregory D. Smith, William & MaryFollow

Files

Document Type

Book Chapter

Department/Program

Applied Science

Publication Date

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

Recommended Citation

Huertas, M. A., & Smith, G. D. (2009). A Population Density Model of the Driven LGN/PGN. Carlo Laing and Gabriel J Lord (Ed.), Stochastic Methods in Neuroscience . Oxford University Press. https://scholarworks.wm.edu/asbookchapters/136