ArticleeLife2022
Perception of an object's global shape is best described by a model of skeletal structure in human infants.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Continuity in geometric intuition between humans and monkeys.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Deep learning in fetal, infant, and toddler neuroimaging research.Developmental cognitive neuroscience · 2026Review
- Fast and robust visual object recognition in young children.Science advances · 2025Article
- Children's Understanding of Topological Relations.Open mind : discoveries in cognitive science · 2025Article
- Multiple timescales of context influence perceptual sensitivity to common pairings of musical pitch and timbre.PloS one · 2025Article
- Parallel development of object recognition in newborn chicks and deep neural networks.PLoS computational biology · 2024Article
- Shape and texture biases in dogs' generalization of trained objects.Scientific reports · 2024Article
- Are spatial terms rooted in geometry or force-dynamics? Yes.Cognitive processing · 2024Review
- Natural scenes reveal diverse representations of 2D and 3D body pose in the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Object geometry serves humans' intuitive physics of stability.Scientific reports · 2024Article
- The developmental trajectory of object recognition robustness: Children are like small adults but unlike big deep neural networks.Journal of vision · 2023Article
- The where, what, and how of object recognition.Trends in cognitive sciences · 2023Article
- Temporal asymmetries and interactions between dorsal and ventral visual pathways during object recognition.Cerebral cortex communications · 2023Article
- Does the brain's ventral visual pathway compute object shape?Trends in cognitive sciences · 2022Review
- Perception of an object's global shape is best described by a model of skeletal structure in human infants.eLife · 2022Article
Corrections and comments
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Authors and funding
2 authors.
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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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.