Population Dynamics of Integrate-and-Fire-or-Burst Neurons

A population study of integrate-and-fire-or-burst neurons

A.R.R. Casti, A. Omurtag, A. Sornborger, E. Kaplan, B. Knight, J. Victor and L. Sirovich

Neural Computation 14, 957-986 (2002)

Abstract

Any realistic model of the neuronal pathway from the retina to the visual cortex (V1) must account for the bursting behavior of neurons in the latreal geniculate nucleus (LGN). A robust but minimal model, the integrate-and-fire-or-bust (IFB) model, has recently been proposed for individual LGN neurons. Based on this, we derive a dynamic population model, the first simulation of its kind evolving in a two-dimensional phase space, is used to study the behavior of bursting populations in response to diverse stimulus conditions.


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