Jun 22, 2006

A multivariate population density model of the dLGN/PGN relay

Journal of Computational Neuroscience
Marco A Huertas, Gregory D Smith

Abstract

Using a population density approach we study the dynamics of two interacting collections of integrate-and-fire-or-burst (IFB) neurons representing thalamocortical (TC) cells from the dorsal lateral geniculate nucleus (dLGN) and thalamic reticular (RE) cells from the perigeniculate nucleus (PGN). Each population of neurons is described by a multivariate probability density function that satisfies a conservation equation with appropriately defined probability fluxes and boundary conditions. The state variables of each neuron are the membrane potential and the inactivation gating variable of the low-threshold Ca2+ current I(T). The synaptic coupling of the populations and external excitatory drive are modeled by instantaneous jumps in the membrane potential of postsynaptic neurons. The population density model is validated by comparing its response to time-varying retinal input to Monte Carlo simulations of the corresponding IFB network composed of 100 to 1,000 cells per population. In the absence of retinal input, the population density model exhibits rhythmic bursting similar to the 7 to 14 Hz oscillations associated with slow wave sleep that require feedback inhibition from RE to TC cells. When the TC and RE cell potassium leak...Continue Reading

Mentioned in this Paper

Spindle
Oscillators, Biological
Neural Inhibition
Dorsal Nucleus of Lateral Geniculate Body
Sleep, Slow-Wave
Extravasation
Neurons
Visual Perception
Synaptic Transmission
End Plate Potentials

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