Optimal motion-in-depth estimation with natural stimuli
Published in bioRxiv, 2024
In this paper we trained ideal observer models to estimate 3D motion from naturalistic binocular video clips. We show that the resulting ideal observer exhibit non-obvious behaviors that are similar to those reported in human psychophysics.
Recommended citation: Herrera-Esposito, D.; Burge, J (2024). " Optimal motion-in-depth estimation with natural stimuli." bioRxiv.
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