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- W2849812 abstract "It is a widely held view in contemporary computational neuroscience that the brain responds to sensory input by producing sparse distributed representations. In this paper we investigate a brain-inspired spatial pooling algorithm that produces such sparse distributed representations by modelling the formation of proximal dendrites associated with neocortical minicolumns. In this approach, distributed representations are formed out of a competitive process of inter-column inhibition and subsequent learning. Specifically, we evaluate the performance of a recently proposed binary spatial pooling algorithm on a well-known benchmark of greyscale natural images. Our main contribution is to augment the algorithm to handle greyscale images, and to produce better quality encodings of binary images. We also show that the augmented algorithm produces superior population and lifetime kurtosis measures in comparison to a number of other well-known coding schemes." @default.
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- W2849812 date "2011-01-01" @default.
- W2849812 modified "2023-10-16" @default.
- W2849812 title "Augmented Spatial Pooling" @default.
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- W2849812 doi "https://doi.org/10.1007/978-3-642-25832-9_27" @default.
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