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

Adrien Wohrer 1 Pierre Kornprobst 2
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 : We propose a new retina simulation software, called Virtual Retina, which transforms a video into spike trains. Our goal is twofold: Allow large scale simulations (up to 100,000 neurons) in reasonable processing times and keep a strong biological plausibility, taking into account implementation constraints. The underlying model includes a linear model of filtering in the Outer Plexiform Layer, a shunting feedback at the level of bipolar cells accounting for rapid contrast gain control, and a spike generation process modeling gan-glion cells. We prove the pertinence of our software by reproducing several experimental measurements from single ganglion cells such as cat X and Y cells. This software will be an evolutionary tool for neuroscientists that need realistic large-scale input spike trains in subsequent treatments, and for educational purposes.
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Journal of Computational Neuroscience, Springer Verlag, 2009, 26 (2), pp.219-249. 〈10.1007/s10827-008-0108-4〉
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Adrien Wohrer, Pierre Kornprobst. Virtual Retina: A biological retina model and simulator, with contrast gain control. Journal of Computational Neuroscience, Springer Verlag, 2009, 26 (2), pp.219-249. 〈10.1007/s10827-008-0108-4〉. 〈hal-01660530〉

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