High-level aftereffects reveal the role of statistical features in visual shape encoding

Add to your list(s) Download to your calendar using vCal

• Ivan Tomic
• Wednesday 20 March 2024, 14:00-15:00
• https://cam-ac-uk.zoom.us/j/92612577704?pwd=MUtqMjVQdXNmUTVIYjRkMG1NUW9GZz09.

If you have a question about this talk, please contact Adam Triabhall.

This week we will discuss and debate a very recent paper by Morgenstern and colleagues, published in Current Biology (2024).

Abstract: “Visual shape perception is central to many everyday tasks, from object recognition to grasping and handling tools. Yet how shape is encoded in the visual system remains poorly understood. Here, we probed shape representations using visual aftereffects—perceptual distortions that occur following extended exposure to a stimulus. Such effects are thought to be caused by adaptation in neural populations that encode both simple, low-level stimulus characteristics and more abstract, high-level object features. To tease these two contributions apart, we used machine-learning methods to synthesize novel shapes in a multidimensional shape space, derived from a large database of natural shapes.24 Stimuli were carefully selected such that low-level and high-level adaptation models made distinct predictions about the shapes that observers would perceive following adaptation. We found that adaptation along vector trajectories in the high-level shape space predicted shape aftereffects better than simple low-level processes. Our findings reveal the central role of high-level statistical features in the visual representation of shape. The findings also hint that human vision is attuned to the distribution of shapes experienced in the natural environment” (Morgenstern et al., 2024).

Reference: Morgenstern, Y., Storrs, K. R., Schmidt, F., Hartmann, F., Tiedemann, H., Wagemans, J., & Fleming, R. W. (2024). High-level aftereffects reveal the role of statistical features in visual shape encoding. Current Biology, 34(5), 1098–1106. https://doi.org/10.1016/j.cub.2023.12.039

This talk is part of the The Craik Journal Club series.

This talk is included in these lists:

• The Craik Journal Club
• https://cam-ac-uk.zoom.us/j/92612577704?pwd=MUtqMjVQdXNmUTVIYjRkMG1NUW9GZz09
• se456's list

Note that ex-directory lists are not shown.