ERC Consolidator Grant · 2021
A perturbative approach to model retinal processing of natural scenes
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 related to actual mechanisms in…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.
← All labs at National Institute of Health and Medical Research (INSERM)