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Editors contains: "Zador, A"

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  1. Hadsell, R; Richards, B; Zador, A (Ed.)
    Deep neural network modeling of biological visual processing is widespread: brains are archetypal pattern analyzers and deep CNNs are currently the best object classifiers. Implicit is the assumption that cortex can be well approximated by CNNs, from which it follows that CNNs are an appropriate foundation for AI. We examine whether this approximation holds using a novel neural manifold obtained with machine learning techniques. 
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