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Article

Comparing neural models using their perceptual discriminability predictions

2023-11-17

Abstract excerpt

Internal representations are not uniquely identifiable from perceptual measurements: different representations can generate identical perceptual predictions, and similar representations may predict dissimilar percepts. Here, we generalize a previous method (“Eigendistortions” – Berardino et al., 2017) to enable comparison of models based on their metric tensors, which can be verified perceptually. Metric tensors c...

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Literature Corpus work
e5733cf4-5829-5208-b807-5c4382738afb
DOI
10.1101/2023.11.17.567604
Open publication

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Comparing neural models using their perceptual discriminability predictionsDOI 10.1101/2023.11.17.567604
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