Perception of an object’s global shape is best described by a model of skeletal structure in human infants

• Type of Material: Article
• Authors: Vladislav Ayzenberg, Carnegie Mellon University; Stella Lourenco, Emory University
• Language: English
• Date: 2022-05-25
• Publisher: eLife Sciences Publications Ltd.
• Publication Version: Final Published Version
• Copyright Statement: © 2022 eLife Sciences Publications Ltd.
• License: Creative Commons Attribution 4.0 International
• Final Published Version (URL): http://dx.doi.org/10.7554/eLife.74943
• Title of Journal or Parent Work: eLife
• Volume: 11
• Grant/Funding Information: The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
• Keywords: Perception; Human; Skeleton; Object shape; Neurosciences & Neurology
• Research Categories: Biology, Neuroscience; Psychology, Cognitive; Psychology, Developmental

Abstract

Categorization of everyday objects requires that humans form representations of shape that are tolerant to variations among exemplars. Yet, how such invariant shape representations develop remains poorly understood. By comparing human infants (6–12 months; N=82) to computational models of vision using comparable procedures, we shed light on the origins and mechanisms underlying object perception. Following habituation to a never-before-seen object, infants classified other novel objects across variations in their component parts. Comparisons to several computational models of vision, including models of high-level and low-level vision, revealed that infants’ performance was best described by a model of shape based on the skeletal structure. Interestingly, infants outperformed a range of artificial neural network models, selected for their massive object experience and biological plausibility, under the same conditions. Altogether, these findings suggest that robust representations of shape can be formed with little language or object experience by relying on the perceptually invariant skeletal structure.