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

被引:45
作者
Casti, ARR [1 ]
Omurtag, A
Sornborger, A
Kaplan, E
Knight, B
Victor, J
Sirovich, L
机构
[1] CUNY Mt Sinai Sch Med, Lab Appl Math, New York, NY 10029 USA
[2] CUNY Mt Sinai Sch Med, Dept Ophthalmol, New York, NY 10029 USA
[3] Cornell Univ, Weill Med Ctr, Dept Neurol & Neurosci, New York, NY 10021 USA
关键词
D O I
10.1162/089976602753633349
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
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页码:957 / 986
页数:30
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