ML Anthology

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

Alex Casti, Ahmet Omurtag, Andrew T. Sornborger, Ehud Kaplan, Bruce W. Knight, Jonathan D. Victor, L. Sirovich
NeCo 2002 pp. 957-986
doi:10.1162/089976602753633349 /neco/2002/casti2002neco-population/

Abstract

Any realistic model of the neuronal pathway from the retina to the visual cortex (V1) must account for the burstingbehavior 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.

NeCo Semantic Scholar

Cite

Text

Casti et al. "A Population Study of Integrate-and-Fire-or-Burst Neurons." Neural Computation, 2002. doi:10.1162/089976602753633349

Markdown

[Casti et al. "A Population Study of Integrate-and-Fire-or-Burst Neurons." Neural Computation, 2002.](https://mlanthology.org/neco/2002/casti2002neco-population/) doi:10.1162/089976602753633349

BibTeX

@article{casti2002neco-population,
  title     = {{A Population Study of Integrate-and-Fire-or-Burst Neurons}},
  author    = {Casti, Alex and Omurtag, Ahmet and Sornborger, Andrew T. and Kaplan, Ehud and Knight, Bruce W. and Victor, Jonathan D. and Sirovich, L.},
  journal   = {Neural Computation},
  year      = {2002},
  pages     = {957-986},
  doi       = {10.1162/089976602753633349},
  volume    = {14},
  url       = {https://mlanthology.org/neco/2002/casti2002neco-population/}
}