Video 3_Case Report: Ophthalmic and associated systemic disorders in free-ranging giant otters (Pteronura brasiliensis) documented through video frames and photographs.mp4 Dahkki Grazielle Soresini (22686575)

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Video 2_Case Report: Ophthalmic and associated systemic disorders in free-ranging giant otters (Pteronura brasiliensis) documented through video frames and photographs.mp4 Dahkki Grazielle Soresini (22686575)

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Video 1_Case Report: Ophthalmic and associated systemic disorders in free-ranging giant otters (Pteronura brasiliensis) documented through video frames and photographs.mp4 Dahkki Grazielle Soresini (22686575)

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Computational Characterization of Decision Making During Trans-saccadic Visual Perception Dahkki Pierre Gianferrara (22216921)

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Macular and optic nerve hypoplasia in chromosome 2p partial trisomy Dahkki Eva Roomets (22685299)

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Correlation between subjective depth (D) and normalized EVA (degrees). Dahkki Mohammed Safayet Arefin (22683505)

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The EVA as predicted by eye movement end depth and participant (data from Fig 4b). Dahkki Mohammed Safayet Arefin (22683505)

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The experiment placed targets at 4 different depths, resulting in 12 different vergence eye movements. Measurements are expressed in meters (m) and diopters (D). Dahkki Mohammed Safayet Arefin (22683505)

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The EVA as predicted Eq 2, the linear mixed effects model. Dahkki Mohammed Safayet Arefin (22683505)

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The Eye Vergence Angle (EVA) as predicted by (a) environment and eye movement end depth in meters, and (b) as predicted by eye movement end depth in . Dahkki Mohammed Safayet Arefin (22683505)

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Predicting the vergence stability hypothesis (H3): reducing the maximal model to the fitted model. Dahkki Mohammed Safayet Arefin (22683505)

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Analysis of Eq 4: the fitted model testing whether subjective depth judgments would be underestimated, and that EVA would provide a more veridical depth estimate than subjective de... Dahkki Mohammed Safayet Arefin (22683505)

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(a) The visual stimulus was a Landolt C resolving to a fixation cross, resulting in a four-alternative forced choice visual discrimination task. Dahkki Mohammed Safayet Arefin (22683505)

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Analysis of Eq 2, the fitted model testing the effect of end depth (Hypothesis H1) and environment (Hypothesis H2) on EVA. Dahkki Mohammed Safayet Arefin (22683505)

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The geometry of the Eye Vergence Angle (EVA) while fixating on a near and far target. Dahkki Mohammed Safayet Arefin (22683505)

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Eye Vergence Angle (EVA) calculation and an example of unprocessed eye tracking data. Dahkki Mohammed Safayet Arefin (22683505)

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A zoomed-in view of participant 11 from Fig 11. Dahkki Mohammed Safayet Arefin (22683505)

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Predicting the natural log ratio of XR target depth over real target depth (Hypothesis H4): reducing the maximal model to the fitted model. Dahkki Mohammed Safayet Arefin (22683505)

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Predicting the eye vergence angle by end depth (Hypothesis H1) and environment (Hypothesis H2): reduction of the maximal model to the fitted model. Dahkki Mohammed Safayet Arefin (22683505)

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A zoomed-in view of participant 11 from Fig 8. Dahkki Mohammed Safayet Arefin (22683505)

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