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Predicting stimulus representations in the visual cortex using computational principles.

Lage-Castellanos, A.; De Martino, F.

2019-07-30 neuroscience
10.1101/687731 bioRxiv
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In this report we present a method for predicting representational dissimilarity matrices (RDM). This method was used during the MIT challenge 2019. The method consists in combining perceptual and categorical RDMs with RDMs extracted from deep neural networks.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.