Interpreting the retinal neural code for natural scenes: From computations to neurons

Maheswaranathan et al. create a three-layer network model that captures retinal encoding of natural scenes and many ethological phenomena. The model’s structure is interpretable in terms of the actions of real interneurons. A new computational approach automatically generates hypotheses for how interneurons generate ethological computations under natural visual scenes.

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