Learning Retinal Tiling in a Model of Visual Attention

Brian Cheung, Eric Weiss, Bruno Olshausen

Abstract: We describe a neural network model in which the tiling of the input array is learned by performing a joint localization and classification task. After training, the optimal tiling that emerges resembles the eccentricity dependent tiling of the human retina.

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