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Vision Sciences Society Annual Meeting Abstract September 2024

Time-resolved brain activation patterns reveal hierarchical representations of scene grammar when viewing isolated objects

Aylin Kallmayer; Melissa Vo

Journal of Vision. 2024; 24(10):655. https://doi.org/10.1167/jov.24.10.655

Vision Sciences Society Annual Meeting Abstract September 2024

Combining Generative Adversarial Networks (GANs) with behavior and brain recordings to study scene understanding

Melissa Le-Hoa Võ; Aylin Kallmayer

Journal of Vision. 2024; 24(10):228. https://doi.org/10.1167/jov.24.10.228

Article September 2023

Viewpoint dependence and scene context effects generalize to depth rotated three-dimensional objects

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Aylin Kallmayer; Melissa L.-H. Võ; Dejan Draschkow
TAGS: data analysis, mismatch, object recognition, reaction time
Journal of Vision. 2023; 23(10):9. https://doi.org/10.1167/jov.23.10.9

Vision Sciences Society Annual Meeting Abstract August 2023

How real can they get? Investigating neural responses to GAN generated scenes.

Aylin Kallmayer; Melissa Vo

Journal of Vision. 2023; 23(9):5703. https://doi.org/10.1167/jov.23.9.5703

Vision Sciences Society Annual Meeting Abstract December 2022

What makes a scene? Investigating generated scene information at different visual processing stages.

Aylin Kallmayer; Melissa L.-H. Vo

Journal of Vision. 2022; 22(14):3944. https://doi.org/10.1167/jov.22.14.3944

Vision Sciences Society Annual Meeting Abstract October 2020

Comparing representations that support object, scene, and face recognition using representational trajectory analysis.

Aylin Kallmayer; Jacob Prince; Talia Konkle

Journal of Vision. 2020; 20(11):861. https://doi.org/10.1167/jov.20.11.861

Vision Sciences Society Annual Meeting Abstract October 2020

Mid-level feature differences support early EEG-decoding of animacy and object size distinctions

Ruosi Wang; Daniel Janini; Aylin Kallmayer; Talia Konkle

Journal of Vision. 2020; 20(11):738. https://doi.org/10.1167/jov.20.11.738

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