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Article

A high-throughput approach for the efficient prediction of perceived similarity of natural objects

2024-07-02

Abstract excerpt

<h4>ABSTRACT</h4> Perceived similarity offers a window into the mental representations underlying our ability to make sense of our visual world, yet, the collection of similarity judgments quickly becomes infeasible for larger datasets, limiting their generality. To address this challenge, here we introduce a computational approach that predicts perceived similarity from neural network activations through a set o...

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Literature Corpus work
299b6d45-2240-569e-b09a-c9593f503154
DOI
10.1101/2024.06.28.601184
Open publication

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A high-throughput approach for the efficient prediction of perceived similarity of natural objectsDOI 10.1101/2024.06.28.601184
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