A Population Study of Integrate-and-Fire-or-Burst Neurons

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

Research output: Contribution to journalArticlepeer-review

57 Scopus citations


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 lateral geniculate nucleus (LGN). A robust but minimal model, the integrate-and-fire-or-burst (IFB) model, has recently been proposed for individual LGN neurons. Based on this, we derive a dynamic population model and study a population of such LGN cells. This 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.

Original languageEnglish (US)
Pages (from-to)957-986
Number of pages30
JournalNeural Computation
Issue number5
StatePublished - May 2002

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Cognitive Neuroscience


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