project . 2022 - 2027 . On going

DEEPRETINA

A perturbative approach to model retinal processing of natural scenes
Open Access mandate for Publications and Research DataOpen Access mandate for ... European Commission
  • Funder: European CommissionProject code: 101045253 Call for proposal: ERC-2021-COG
  • Funded under: HE | ERC | HORIZON-ERC\HORIZON-AG Overall Budget: 1,998,280 EURFunder Contribution: 1,998,280 EUR
  • Status: On going
  • Start Date
    01 Oct 2022
    End Date
    30 Sep 2027
  • Detailed project information (CORDIS)
Description
A major goal of sensory neuroscience is to understand how sensory neurons process natural scenes. Models built from the responses of sensory neurons to simple stimuli do not generalize to predict how complex, natural scene are processed. Even as early as in the retina, this issue is not solved. Deep network models have been proposed to predict the responses of visual neurons to natural stimuli. However, they are still far from being a realistic model of the visual system. First, the sensitivity to perturbations of the stimulus can thus be very different for a deep network model and for our visual system. Second, it is not clear how the model components can be re...
Partners
Description
A major goal of sensory neuroscience is to understand how sensory neurons process natural scenes. Models built from the responses of sensory neurons to simple stimuli do not generalize to predict how complex, natural scene are processed. Even as early as in the retina, this issue is not solved. Deep network models have been proposed to predict the responses of visual neurons to natural stimuli. However, they are still far from being a realistic model of the visual system. First, the sensitivity to perturbations of the stimulus can thus be very different for a deep network model and for our visual system. Second, it is not clear how the model components can be re...
Partners
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