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Journal of Computational Neuroscience
Erschienen in: Journal of Computational Neuroscience 2/2009

01.04.2009

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

verfasst von: Adrien Wohrer, Pierre Kornprobst

Erschienen in: Journal of Computational Neuroscience | Ausgabe 2/2009

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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 ganglion 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.
Vorheriger Artikel Contextual modulation of V1 receptive fields depends on their spatial symmetry
Nächster Artikel Identification and comparison of stochastic metabolic/hemodynamic models (sMHM) for the generation of the BOLD signal

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Fußnoten
1
Under INRIA CeCILL C open-source license, IDDN number IDDN.FR.001.210034.000.S.P.2007.000.31235.
 
3
Server address: http://​facets.​inria.​fr/​retina/​webservice.​html, also accessible directly from the software homepage.
 
4
Naturally, we do not claim here that all processing up to LGN is already done in the OPL! But functionally, the linear structure of our model is mostly encompassed in this first stage, plus the supplementary linear transient \(T_{w_\mathrm{G},\tau_\mathrm{G}}(t)\) in Eq. (14).
 
6
Heuristically, the {α} should correspond to concepts like ‘edges’, ‘textures’, etc. More rigorously, the {α} could be the different parameters of a well-chosen generative model for natural scenes (or movies).
 
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Metadaten
Titel
Virtual Retina: A biological retina model and simulator, with contrast gain control
verfasst von
Adrien Wohrer
Pierre Kornprobst
Publikationsdatum
01.04.2009
Verlag
Springer US
Erschienen in
Journal of Computational Neuroscience / Ausgabe 2/2009
Print ISSN: 0929-5313
Elektronische ISSN: 1573-6873
DOI
https://doi.org/10.1007/s10827-008-0108-4

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