ArticleJournal of neurophysiology2015
Dynamics of 3D view invariance in monkey inferotemporal cortex.
Article in Journal of neurophysiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Rotation-tolerant representations elucidate the time-course of high-level object processing.PloS one · 2026Article
- The roles of symmetry and elongation in developing reference frames.Frontiers in psychology · 2024Article
- Viewpoint dependence and scene context effects generalize to depth rotated three-dimensional objects.Journal of vision · 2023Article
- Human peripheral blur is optimal for object recognition.Vision research · 2022Article
- A separable neural code in monkey IT enables perfect CAPTCHA decoding.Journal of neurophysiology · 2022Article
- Invariance of object detection in untrained deep neural networks.Frontiers in computational neuroscience · 2022Article
- Generative Models for Active Vision.Frontiers in neurorobotics · 2021Article
- A compositional neural code in high-level visual cortex can explain jumbled word reading.eLife · 2020Article
- Do Primates and Deep Artificial Neural Networks Perform Object Categorization in a Similar Manner?The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Multiplicative mixing of object identity and image attributes in single inferior temporal neurons.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Symmetric Objects Become Special in Perception Because of Generic Computations in Neurons.Psychological science · 2018Article
- Object comparison in the lateral intraparietal area.Journal of neurophysiology · 2017Article
- Effect of silhouetting and inversion on view invariance in the monkey inferotemporal cortex.Journal of neurophysiology · 2017Article
- Seeing a straight line on a curved surface: decoupling of patterns from surfaces by single IT neurons.Journal of neurophysiology · 2017Article
- A neural substrate for object permanence in monkey inferotemporal cortex.Scientific reports · 2016Article
- Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder.Frontiers in computational neuroscience · 2016Article
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2 authors.
Funding
Abstract
Rotations in depth are challenging for object vision because features can appear, disappear, be stretched or compressed. Yet we easily recognize objects across views. Are the underlying representations view invariant or dependent? This question has been intensely debated in human vision, but the neuronal representations remain poorly understood. Here, we show that for naturalistic objects, neurons in the monkey inferotemporal (IT) cortex undergo a dynamic transition in time, whereby they are initially sensitive to viewpoint and later encode view-invariant object identity. This transition depended on two aspects of object structure: it was strongest when objects foreshortened strongly across views and were similar to each other. View invariance in IT neurons was present even when objects were reduced to silhouettes, suggesting that it can arise through similarity between external contours of objects across views. Our results elucidate the viewpoint debate by showing that view invariance arises dynamically in IT neurons out of a representation that is initially view dependent.
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