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Invariant object recognition is a personalized selection of invariant
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*Frontiers | Convolutional neural networks for vision neuroscience *
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Deep learning models fail to capture the configural nature of human
*A Review on Machine/Deep Learning Techniques Applied to Building *
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*Do Computational Models Differ Systematically From Human Object *
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The canonical deep neural network as a model for human symmetry
*Qualitative similarities and differences in visual object *
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The contribution of nonrigid motion and shape information to object
*Deep neural network models of sound localization reveal how *
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