Optimal estimation of local motion-in-depth with naturalistic stimuli
Estimating the motion of objects in depth is important for behavior and is strongly supported by binocular visual cues. To understand both how the brain should estimate motion in depth and how natural constraints shape and limit performance in two local 3D motion tasks, we develop image-computable i...
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| Format: | article |
| Idioma: | anglès |
| Publicat: |
2025
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| Accés en línia: | https://hdl.handle.net/20.500.12008/54084 |
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