In this paper we present a means to generate a receptive field tessellation for an artificial retina using a self-organisation methodology. The approach addresses the problem of creating a receptive field tessellation that seamlessly changes from the uniform fovea to the space-variant periphery of a retina. We sampled and reconstructed images by placing overlapping space-variant receptive fields on this retinal tessellation and scaling the field size according to the local node density. The results of sampling and reconstructing images using the above self-organising retina tessellation are presented.
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