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The retina is the first stage of visual neural information coding on the visual system, and several challenges remain on its functioning. Overcoming these challenges would suppose both a step further in the general understanding of the biological neural systems and a potential way to enhance millions of people’s lives that suffer from visual degeneration or impairment. In this work, a data-driven deep learning approach is applied to learn the behavior of mice’s retinal ganglion cells in response to light, as a step towards the development of a system able to mimic a real retina in terms of neural coding of visual stimuli.