Virtual Retina : a biological retina model and simulator, with contrast gain control

Adrien Wohrer 1, * Pierre Kornprobst 1 Thierry Viéville 1
* Corresponding author
1 ODYSSEE - Computer and biological vision
DI-ENS - Département d'informatique de l'École normale supérieure, CRISAM - Inria Sophia Antipolis - Méditerranée , ENS Paris - École normale supérieure - Paris, Inria Paris-Rocquencourt, ENPC - École des Ponts ParisTech
Abstract : A detailed retina model is proposed, that transforms a video sequence into a set of spike trains, as those emitted by retinal ganglion cells. It includes a linear model of filtering in the Outer Plexiform Layer (OPL), a contrast gain control mechanism modeling the non-linear feedback of some amacrine cells on bipolar cells, and a spike generation process modeling ganglion cells. A strength of the model is that each of its features can be associated to a precise physiological signification and location. The resulting retina model can simulate physiological recordings on mammalian retinas, including such non-linearities as cat Y cells, or contrast gain control. Furthermore, the model has been implemented on a large-scale simulator that can emulate the spikes of up to 100,000 neurons.
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[Research Report] RR-6243, INRIA. 2007, pp.32
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Adrien Wohrer, Pierre Kornprobst, Thierry Viéville. Virtual Retina : a biological retina model and simulator, with contrast gain control. [Research Report] RR-6243, INRIA. 2007, pp.32. 〈inria-00160716v2〉

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