title: A population study of integrate-and-fire-or-burst neurons.
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 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.
authors.affiliation: Laboratory of Applied Mathematics, Mount Sinai School of Medicine, New York, NY 10029, U.S.A. arc@camelot.mssm.edu
authors.forename: A R R
authors.initials: AR
authors.lastname: Casti
authors.forename: A
authors.initials: A
authors.lastname: Omurtag
authors.forename: A
authors.initials: A
authors.lastname: Sornborger
authors.forename: E
authors.initials: E
authors.lastname: Kaplan
authors.forename: B
authors.initials: B
authors.lastname: Knight
authors.forename: J
authors.initials: J
authors.lastname: Victor
authors.forename: L
authors.initials: L
authors.lastname: Sirovich
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000818:Animals; D005829:Geniculate Bodies / Q000166:cytology / Q000502:physiology*; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D010507:Periodicity; D014795:Visual Pathways / Q000166:cytology / Q000502:physiology